Forecast Model and Product Assessment Project...

Forecast Model and Product Assessment Project

User’s Guide

by John Raby, Robert Brown, Yasmina Raby

ARL-SR-0225 May 2011

Approved for public release; distribution is unlimited.

NOTICES

Disclaimers The findings in this report are not to be construed as an official Department of the Army position unless so designated by other authorized documents. Citation of manufacturer’s or trade names does not constitute an official endorsement or approval of the use thereof. Destroy this report when it is no longer needed. Do not return it to the originator.

Army Research Laboratory White Sands Missile Range, NM 88002-5501

ARL-SR-0225 May 2011

Forecast Model and Product Assessment Project User’s Guide

John Raby, Robert Brown, and Yasmina Raby

Computational and Information Sciences Directorate, ARL Approved for public release; distribution is unlimited.

ii

REPORT DOCUMENTATION PAGE Form Approved OMB No. 0704-0188

Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing the burden, to Department of Defense, Washington Headquarters Services, Directorate for Information Operations and Reports (0704-0188), 1215 Jefferson Davis Highway, Suite 1204, Arlington, VA 22202-4302. Respondents should be aware that notwithstanding any other provision of law, no person shall be subject to any penalty for failing to comply with a collection of information if it does not display a currently valid OMB control number. PLEASE DO NOT RETURN YOUR FORM TO THE ABOVE ADDRESS. 1. REPORT DATE (DD-MM-YYYY)

May 2011 2. REPORT TYPE

Final 3. DATES COVERED (From - To)

October 2009−January 2011 4. TITLE AND SUBTITLE

Forecast Model and Product Assessment Project User’s Guide 5a. CONTRACT NUMBER

5b. GRANT NUMBER

5c. PROGRAM ELEMENT NUMBER

6. AUTHOR(S)

John Raby, Robert Brown, and Yasmina Raby 5d. PROJECT NUMBER

5e. TASK NUMBER

5f. WORK UNIT NUMBER

7. PERFORMING ORGANIZATION NAME(S) AND ADDRESS(ES)

U.S. Army Research Laboratory Battlefield Environment Division Computational and Information Sciences Directorate (ATTN: RDRL-CIE-M) White Sands Missile Range, NM 88002-5501

8. PERFORMING ORGANIZATION REPORT NUMBER

ARL-SR-0225

9. SPONSORING/MONITORING AGENCY NAME(S) AND ADDRESS(ES)

10. SPONSOR/MONITOR’S ACRONYM(S)

11. SPONSOR/MONITOR'S REPORT NUMBER(S)

12. DISTRIBUTION/AVAILABILITY STATEMENT

Approved for public release; distribution is unlimited.

13. SUPPLEMENTARY NOTES

14. ABSTRACT

The Mission Execution Modeling Team of the U.S. Army Research Laboratory (ARL) has a project to determine the accuracy and value added of the weather models and decision support tools under development. To accomplish this, the team has developed the capability to produce model validation statistics using National Center for Atmospheric Research (NCAR) Model Evaluation Tools (MET) software. The MET Point-Stat tool compares weather model output from the Weather Research and Forecast (WRF) model to point weather observations collected from the Meteorological Assimilation Data Ingest System (MADIS) and the National Centers for Environmental Prediction (NCEP) PrepBUFR data source. The Point-Stat tool calculates error statistics on the performance of WRF forecasts. The MET Stat-Analysis tool aggregates and summarizes these statistics according to user determined criteria. The data from these summaries are extracted and imported into spreadsheets where they can be visualized in tables and graphs for further analysis. Execution of the data collection programs, MET software and the extraction programs requires the user to run approximately 100 scripts which collect, reformat, organize, execute and extract the results on local workstations and ARL High Performance Computers. To organize and track the process of running these scripts, this User’s Guide was developed from internal procedures and checklists. 15. SUBJECT TERMS

WRF, forecast, validation, observation, statistics

16. SECURITY CLASSIFICATION OF: 17. LIMITATION

OF ABSTRACT

UU

18. NUMBER OF PAGES

334

19a. NAME OF RESPONSIBLE PERSON John Raby

a. REPORT

Unclassified b. ABSTRACT

Unclassified c. THIS PAGE

Unclassified 19b. TELEPHONE NUMBER (Include area code) (575) 678-2004

Standard Form 298 (Rev. 8/98) Prescribed by ANSI Std. Z39.18

iii

Contents

List of Figures v

List of Tables v

1. Introduction 1

1.1 Objectives ........................................................................................................................1

1.2 Relevance ........................................................................................................................2

1.3 Background and Statement of Problem ...........................................................................2

2. Model Assessment Process 3

3. Computer Resources 7

4. Scripts 8

4.1 Top-Level Scripts ............................................................................................................8

4.1.1 “s” Script .............................................................................................................8

4.1.2 “s1” Script ...........................................................................................................9

4.1.3 “s2” Script .........................................................................................................10

4.2 Embedded Scripts ..........................................................................................................10

4.2.1 Run WRF Forecast (Carson, Kelvin, MJM) ......................................................11

4.2.2 Convert PrepBUFR Data (Carson) ....................................................................11

4.2.3 Download and Reformat MADIS Data (Carson) ..............................................13

4.2.4 WRF Post-Processing ........................................................................................14

4.2.5 MET Point-Stat (Carson) ...................................................................................14

4.2.6 MET Stat-Analysis (Carson) .............................................................................18

4.2.7 Extract Stat-Analysis Data (Carson) .................................................................20

5. Model Assessment Procedures and Checklists 20

5.1 Procedures .....................................................................................................................21

5.2 Checklists ......................................................................................................................37

6. References 44

iv

Appendix A. Top-Level Scripts 45

Appendix B. Embedded Scripts: Run WRF Forecast (Carson, Kelvin, MJM) 53

Appendix C. Embedded Scripts: Convert PrepBUFR Data (Carson) 61

Appendix D. Embedded Scripts: Download and Reformat MADIS Data (Carson) 141

Appendix E. Embedded Scripts: WRF Post-Processing (MJM, Carson) 179

Appendix F. Embedded Scripts: MET Point-Stat (Carson) 195

Appendix G. Embedded Scripts: MET Stat-Analysis (Carson) 211

Appendix H. Embedded Scripts: Extract Stat-Analysis Data (Carson) 295

Appendix I. Checklist: Collect WRF Evaluation Data – Run WRF Model 297

Appendix J. Checklist: Collect WRF Evaluation Data – Process Passner WRF Runs 301

Appendix K. Checklist: StatAnalysisChecklist_single_day 305

Appendix L. Checklist: StatAnalysisAggregatedChecklist 311

Appendix M. Checklist: StatAnalysisSFCHourlyExtractionChecklist 313

Appendix N. Checklist: StatAnalysisSingleDayADPUPAExtractionChecklist 315

List of Symbols, Abbreviations, and Acronyms 319

Distribution 325

v

List of Figures

Figure 1. Collection of ground truth observations and WRF forecasts for domains 1 and 2 for input to MET Point-Stat. ...................................................................................................................................... 4

Figure 2. MET Point-Stat produces forecast error statistics and MET Stat-Analysis reads Point-Stat output and produces statistical summaries for the three model resolution/domain combinations (m1o1, m1o2, m2o2). ............................................................................................................................. 5

Figure 3. Statistical summary data is extracted and imported into MS Excel spreadsheets for analysis. .... 6

Figure 4. Example 1 of StatAnalysis checklist (single day). ..................................................................... 40

Figure 5. Example of StatAnalysisAggregated checklist (option 1). ......................................................... 40

Figure 6. Example of StatAnalysisAggregated checklist (option 2). ......................................................... 41

Figure 7. Example 2 of StatAnalysis checklist (single day). ..................................................................... 41

Figure 8. Example 1 of StatAnalysisSFCHourlyExtraction checklist. ...................................................... 42

Figure 9. Example 2 of StatAnalysisSFCHourlyExtraction checklist. ...................................................... 42

Figure 10. Example of StatAnalysisSingleDayADPUPAExtraction checklist. ......................................... 43

List of Tables

Table 1. Computer resources. ...................................................................................................................... 7

Table 2. Basic functionality of “s” top-level script. ..................................................................................... 8

Table 3. Prompted choices for “s” script. .................................................................................................... 9

Table 4. Basic functionality of “s1” top-level script. ................................................................................... 9

Table 5. Prompted choices for “s1” script. ................................................................................................ 10

Table 6. Basic functionality of “s2” top-level script. ................................................................................. 10

Table 7. Prompted choices for “s2” script. ................................................................................................ 10

Table 8. PrepBUFR conversion configuration file variable settings. ........................................................ 12

Table 9. Point-Stat configuration file variable settings. ............................................................................. 16

Table 10. Point-Stat configuration file fcst_field variable settings. ........................................................... 17

Table 11. Point-Stat configuration file fcst_thresh variable settings. ........................................................ 17

Table 12. Output_prefix variable names for Point-Stat configuration files. .............................................. 18

Table 13. Stat-Analysis default configuration settings. ............................................................................. 19

Table 14. The statistics are presented in the order with the numerical assignment used when they are presented in the user interface menu of run_ExtractStatAnalysis. ....................................................... 36

vi

INTENTIONALLY LEFT BLANK.

1

1. Introduction

1.1 Objectives

The first of four goals of this project is to determine the effectiveness, accuracy, and value added of the weather models and the modifications of the models produced by the Nowcast Modeling Project.

The second goal is to determine the effectiveness, accuracy, and value added of the weather decision support tools under development by the Weather Impacts Risk Awareness Team.

The third goal is to implement Visual Analytics techniques and the use of the ParaView visualization software to identify Model Evaluation Tools (MET) “objects” based on parameter thresholds required by the MET software and the decision aid software.

The fourth goal is to apply visual analytics techniques to verify the Weather Research and Forecast (WRF) forecast output accuracy and as a forecaster aid.

This Applied Research Science and Technology activity will leverage the efforts of the Numerical Weather Prediction (NWP) community by using the MET. The MET is a set of verification tools developed by the WRF Developmental Testbed Center (DTC) for use by the numerical weather prediction community, especially users and developers of the WRF model, to help them assess and evaluate the performance of the model (National Center for Atmospheric Research, 2009).

The three main statistical analysis components of the current version of MET are named Point-Stat, Grid-Stat, and Method for Object-Based Diagnostic Evaluation (MODE).

The MET Point-Stat tool is used for grid-to-point verification, or verification of a gridded forecast field against point ground truth observations. The MET Point-Stat tool provides forecast verification scores for both continuous (e.g., temperature) and categorical (e.g., rain) variables, and confidence intervals are also produced. Confidence intervals take into account the uncertainty associated with verification statistics due to sampling variability and sample size limitations. The Grid-Stat tool produces verification statistics when a gridded field is used as the observational dataset. Like the Point-Stat tool, the Grid-Stat tool also produces confidence intervals. The MODE tool also uses gridded fields as observational datasets, defining objects in both the forecast and observation fields. The objects in the forecast and observation fields are then matched and compared to one another. MET Stat-Analysis takes the output from Point-Stat and aggregates it over a user-specified time, stratifies statistics based on time of day and WRF initialization time, and computes verification statistics and indices. The user is referred to the MET V2.0 User’s Guide for a complete description of MET (National Center for Atmospheric Research, 2009).

2

The ground truth point observation data include surface weather observations from the Surface aviation meteorological observation (METAR), mesonet and synoptic reporting stations, Rawinsonde upper air Observations (RAOB) reporting stations, aircraft reports and Aircraft Communications Addressing and Reporting System (ACARS) observations. METAR, RAOB, aircraft and ACARS data are received in the form of ADPSFC, ADPUPA, AIRCFT and AIRCAR message types from the National Centers for Environmental Prediction (NCEP) PrepBUFR data source. The mesonet data are received as ADPSFC messages from the Meteorological Assimilation Data Ingest System (MADIS). The meteorological variables retained for model comparison from these observations are the following:

• Temperature ([TMP], degrees Kelvin)

• Dew point temperature ([DPT], degrees Kelvin)

• Relative humidity ([RH], percent)

• Mean sea level pressure ([PRMSL], hectopascals)

• U-component wind speed ([UGRD], meters/second)

• V-component wind speed ([VGRD], meters/second)

• Wind speed ([WIND], meters/second)

• Geopotential height ([HGT], geopotential meters)

1.2 Relevance

This project is an ambitious effort to make a quantitative assessment of the modeling work currently underway by the U.S. Army Research Laboratory (ARL), as well as the entire met modeling community. Upon completion, we should be able to provide a quantitative assessment of the “value added” of the ongoing work to our Army customers and ARL management. This effort will also provide feedback to the modelers and decision support tool developers on the strengths and weaknesses of the models and tools, noting areas that need further work and improvement.

1.3 Background and Statement of Problem

Weather forecast validation has always been of interest to the weather forecasting community and this interest has shifted from the accuracy of human forecasters to the accuracy of the computer-driven NWP.

The validation of the models, especially high resolution models produced by the NWP community, has proven to be especially difficult when addressing small time and space scales. This problem focuses on the ability, or lack thereof, to generate verification statistics that compare the model output to actual observations. This difficulty is also apparent when high resolution verification requires time and spatial forecast verification. A model, for example, may

3

predict rain in a certain area at a specified time. Did the forecast successfully “hit” if it did rain at the specified time but missed the intended area or if it rained at the intended area but missed the time by several hours?

The validation efforts are further complicated by the necessity of measuring the validity of non-traditional forecasts, such as probabilistic and ensemble forecasts. These methods must also address the propriety and equitability of the verification measures, as well as verification of extreme or rare events.

The validation and assessment of the WRF forecast model is a high priority for the NWP community so there is a strong effort to develop consistent methods to evaluate the models and then enhance the models based on these assessments. The Nowcast Modeling Project uses WRF as its primary NWP model.

This User’s Guide was based on a pre-existing internal user’s guide and procedures document, which were developed to enable the authors to organize the collection and production of model assessment data and statistics. Without these guides, maintaining configuration control of the 97 scripts and configuration files and keeping track of the complex process in the generation of the required data and statistics for two locations, using numerical forecasts generated by seven different variations of the WRF model, using three WRF model resolution/domain combinations and various types of statistical summaries has proven to be a difficult task. This User’s Guide combines the internal documents into one cohesive document to assist future users of this process. Given that these processes necessarily change, this guide must be a living document and will require periodic revisions to keep it up to date. Thus, this guide represents a snapshot of the current process and tools, which are used in this project. Users are encouraged to provide feedback to the authors on the accuracy of the content of this guide and its effectiveness in conveying the information necessary to successfully execute the procedures to produce the desired results. The intent is to use such feedback to improve the guide and publish updated versions in future reports.

2. Model Assessment Process

The model assessment process has five major steps: (1) run or acquire the 3-km and 1-km resolution WRF model output over two predetermined nested geographic domains to create gridded forecast fields, (2) acquire PrepBUFR and MADIS observed ground truth measurements for the two domains and for the valid times of the model run, (3) use MET Point-Stat to compare the forecast field to the observations for each domain and calculate the error statistics of the comparison, (4) use MET Stat-Analysis to aggregate and summarize the statistical results, and (5) extract the statistical results for display and analysis. Figures 1 though 3 present a description of the model assessment process.

4

Figure 1. Collection of ground truth observations and WRF forecasts for domains 1 and 2 for input to MET Point-Stat.

5

Figure 2. MET Point-Stat produces forecast error statistics and MET Stat-Analysis reads Point-Stat output and produces statistical summaries for the three model resolution/domain combinations (m1o1, m1o2, m2o2).

6

Figure 3. Statistical summary data is extracted and imported into MS Excel spreadsheets for analysis.

For more examples of how the extracted data can be used to analyze the performance of the WRF when run at 3-km and 1-km horizontal resolution and with various WRF model parameterizations, the user is referred to a 2009 ARL Internal Report (Sauter et al., 2009) and/or a follow-on 2011 ARL Technical Report (Raby et al., 2011) which compare WRF forecasts to weather observations over Utah.

7

3. Computer Resources

The computer resources for the project, as shown in table 1, include local ARL/Battlefield Environment Division (BED) workstations located at ARL/Computational and Information Sciences Directorate (CISD)/BED, White Sands Missile Range, NM and ARL High Performance Computer (HPC) systems located at Aberdeen, MD.

Table 1. Computer resources.

Name Location System Configuration Operating System Carson Room 106, Bldg. 1622 Dell Precision T7400 Minitower, 2XQuad

Core, 2.66 GHz processors, 8 GB DDR2 RAM, 250 GB SATA Disk, 1.5 TB SATA Disk, 1.0 TB SATA Disk

Red Hat LINUX, 64 Bit

Kelvin Room 117, Bldg. 1622 Dell Optiplex 745 Small form Factor, Dual Core, 2.40 GHz processors, 2 GB DDR2 RAM, 140 GB SATA Disk


Stokes Room 104, Bldg 1622 Dell Optiplex 745 Small form Factor, Dual Core, 2.40 GHz processors, 2 GB DDR2 RAM, 140 GB SATA Disk


Harold HPC facility, Aberdeen, MD

HPC UNIX

MJM HPC facility, Aberdeen, MD

HPC UNIX

8

4. Scripts

Scripts have been written to use the MET Point-Stat tool, which calculates the error statistics derived from the forecast-observation differences. The scripts control the acquisition of the gridded forecast field from the WRF either by running the WRF model or by using previously-generated WRF output. Other scripts control the collection of point observations from the PrepBUFR and MADIS sources. The forecast and observational data are cropped for the domains of interest and converted into Gridded Binary Format (GRIB1) and Network Common Data Form (NetCDF) formats respectively and placed into the directories for access by MET Point-Stat. Once Point-Stat processing is complete, MET Stat-Analysis scripts are run to produce various types of summaries of statistical results. Finally, other scripts enable the user to extract Stat-Analysis results for display and analysis in MS Excel spreadsheets. The scripts are described below and placed in appendices A−H organized according to the type of script and in the functional order they are used in the model assessment process.

4.1 Top-Level Scripts

Top-level scripts control the overall running of the model assessment process. The basic functionality of the script is presented in the following tables without some of the computer syntax required for actual execution. These scripts are contained in appendix A.

4.1.1 “s” Script

Table 2 shows the basic functionality of “s” script, and table 3 displays the prompted choices.

Table 2. Basic functionality of “s” top-level script.

Script Name s

Author Brown/Raby

Date 09/01/2010

Location Carson

Script Purpose Acts as the interactive top-level start script to initiate the model assessment process.

9

Table 3. Prompted choices for “s” script.

Prompted Choice Name of script or Command “Run WRF Initialization” WRF_Main “Create Passner Directories” Create_Passner_Directories “Logging on to mjm” From Carson: mjmLogin

From Kelvin: “ssh Kelvin” (then use mjmLogin on Kelvin)

“Downloading PrepBUFR Data (metar, synoptic, and upper air)”

run_prepBUFR

“Downloading MADIS Current Data (mesonet data)”

run_MADIS

“Downloading MADIS Archived Data ( mesonet data)”

run_MADIS_Archive

“Converting MADIS ASCII data to netcdf”

ascii2netcdf

“Running Point-Stat” run_Point_Stat “Edit Scripts” “Enter name of script to edit”

Command: vi response “Quit” Command: exit 0

4.1.2 “s1” Script

Table 4 shows the basic functionality of “s1” script, and table 5 displays the prompted choices.

Table 4. Basic functionality of “s1” top-level script.

Script Name s1

Author Brown/Raby

Date 06/18/2010

Location MJM

Script Purpose Interactive top-level start script to continue the model assessment process on the HPC (MJM).

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

10

Table 5. Prompted choices for “s1” script.

Prompted Choice Name of script or Command “Run WRF” Start_WRF “Post process WRF output” WRF_Post_Process “Download post-processed data to Carson”

post_carson

“Quit” Command: exit 0

4.1.3 “s2” Script

Table 6 shows the basic functionality of “s2” script, and table 7 displays the prompted choices.

Table 6. Basic functionality of “s2” top-level script.

Script Name s2

Author Brown/J. Raby/Y. Raby

Date 06/21/2010

Location MJM

Script Purpose Interactive top-level start script to continue the model assessment process on the HPC (MJM).

Table 7. Prompted choices for “s2” script.

Prompted Choice Name of script or Command “Post WRF Control run output” post_carson_control “Post WRF P2 run output” post_carson_P2 “Post WRF P8 run output” post_carson_P8 “Post WRF T3 run output” post_carson_T3 “Post WRF L4 run output” post_carson_L4 “Post WRF L8 run output” post_carson_L8 “Post WRF B2 run output” post_carson_B2 “Quit” Command: exit 0

4.2 Embedded Scripts

Embedded scripts, discussed in the following sections, execute the individual modules, which produce the WRF output, post-process and reformat it, then post it to Carson in the location required by MET Point-Stat. They also execute the acquisition, cropping, reformatting and posting of the observational data for access by MET Point-Stat. These scripts are contained in appendices B−H.

11

4.2.1 Run WRF Forecast (Carson, Kelvin, MJM)

The scripts below enable the user to setup and run the WRF model. These scripts are contained in appendix B.

• WRF_Main (Carson)

• mjmLogin (Carson, Kelvin)

• Start_WRF (MJM)

• run_wrf_jr_old (MJM)

4.2.2 Convert PrepBUFR Data (Carson)

Observations for Dugway Proving Ground (DUG) and Kennedy Space Center (KSC) from the PrepBUFR source are collected and converted to NetCDF format by the scripts listed below on Carson. The conversion process uses the MET PB2NC tool and is controlled by configuration files, which set variables to govern how the observations are selected and retained after quality control (QC) checking. Table 8 lists the current variable settings. For a more complete description of these variables, the user is referred to the MET V2.0 User’s Guide (National Center for Atmospheric Research, 2009). The configuration files are listed with the scripts below and are contained in appendix C.

• run_prepBUFR

• pb2nc_DUGd01_06_all.sh_template

• pb2nc_DUGd01_06_all.sh

• PB2NCConfig_DUGd01_hr1



• pb2nc_DUGd02_06_all.sh_template

• pb2nc_DUGd02_06_all.sh




• pb2nc_KSCd01_06_all.sh_template

• pb2nc_KSCd01_06_all.sh

• PB2NCConfig_KSCd01_hr1

12



• pb2nc_KSCd02_06_all.sh_template

• pb2nc_KSCd02_06_all.sh




Table 8. PrepBUFR conversion configuration file variable settings.

Variable Name Setting

message_type [] [ “ADPSFC”, “ADPUPA”, “ANYAIR” ]

station_id [] [] (blank)

beg_ds (varies with config file) −4500 (for _hr1), −900 (for _hr2), 2700 (for _hr3)

end_ds (varies with config file) −2700 (for _hr1), 900 (for _hr2), 4500 (for _hr3)

mask_grid “” (none)

mask_poly “LLLd0x.poly” where LLL is DUG or KSC and x denotes either domain 1 or domain 2.

beg_elev −1000

end_elev 100000

pb_report_type [] [] (blank)

in_report_type [] [] (blank)

instrument_type [] [] (blank)

beg_level 1

end_level 255

obs_grib_code [] [ “TMP”, “HGT”, “UGRD”, “VGRD”, “DPT”, “WIND”, “RH”, “PRMSL” ]

quality_mark_thresh 2

event_stack_flag 1

level_category [] [] (blank)

tmp_dir “/tmp”

version “V2.0”

Go back to previous view

13

4.2.3 Download and Reformat MADIS Data (Carson)

The scripts below enable the user to download archived or current MADIS mesonet observations, crop them for either the DUG or the KSC domains, then convert them into hourly NetCDF files. These scripts are contained in appendix D.

• run_MADIS

• run_MADIS_Archive

• MADIS_crop_Template

• MADIS_crop

• MADIS_crop_Dug_Template

• MADIS_crop_Dug

• sfcdump_CapeC_1_d1_Template

• sfcdump_CapeC_1_d2_Template

• sfcdump_Dugway_1_d1_Template

• sfcdump_Dugway_1_d2_Template

• runMADIStoMET

• ascii2netcdf

• ascii2nc_KSCd01_06_all_template

• ascii2nc_KSCd01_06_all.sh

• ascii2nc_KSCd02_06_all_template

• ascii2nc_KSCd02_06_all.sh

• ascii2netcdf_Dug

• ascii2nc_DUGd01_06_all_template

• ascii2nc_DUGd01_06_all.sh

• ascii2nc_DUGd02_06_all_template

• ascii2nc_DUGd02_06_all.sh

14

4.2.4 WRF Post-Processing

The scripts below enable the user to post-process the WRF output into hourly GRIB1 files on MJM, and then download these files to Carson. They also create a directory structure on Carson to organize the output based on the case study date and WRF variation. These scripts are contained in appendix E.

• Create_Passner_Directories (Carson)

• WRF_Post_Process (MJM)

• run_wrfpost_frames_template (MJM)

• post_carson (MJM)

• post_carson_control (MJM)

• post_carson_p2 (MJM)

• post_carson_p8 (MJM)

• post_carson_T3 (MJM)

• post_carson_L4 (MJM)

• post_carson_L8 (MJM)

• post_carson_B2 (MJM)

4.2.5 MET Point-Stat (Carson)

The scripts below execute MET Point-Stat on the WRF forecast and point observation data. The user is prompted for specifics to produce the desired statistics for the various combinations of WRF model horizontal resolution (m1-1 km, m2-3 km), domain (o1-domain 1, o2-domain 2), and WRF model run parameters (blank-control, P2-Physics2, P8-Physics8, T3-3Second, L4-40Levels, L8-80Levels, B2-MYJ BL). Point-Stat uses a configuration file, which specifies other parameters that control how the statistics will be calculated and how the output will look. These configuration files are the PointStatConfig scripts listed below. See tables 9, 10 and 11 for listings of the current configuration variable settings. The configuration file scripts contain descriptions of each variable. The MET V2.0 User’s Guide contains more detailed descriptions of configuration variables (National Center for Atmospheric Research, 2009). These scripts are contained in appendix F.

• run_Point_Stat

• run_PointStat_Passner.sh

• PointStatConfig_m1o1pb

15

• PointStatConfig_m1o2as

• PointStatConfig_m2o2as

• PointStatConfig_m1o1_P2






• PointStatConfig_m1o1_T3



• PointStatConfig_m1o1_L4






• PointStatConfig_m1o1_B2



Note: Appendix F contains only one of the above PointStatConfig files (PointStatConfig_m1o1pb) since the only difference between these files is between lines 467−468, where the output_ prefix variable is changed to reflect the domain, resolution and WRF variation in the output filenames. The output_ prefix variable names for all configuration files are shown in table 12.

16

Table 9. Point-Stat configuration file variable settings.

Variable Name Setting

Model WRF

beg_ds −1200

end_ds 1200

fcst_field [] See table 10

obs_field [] [] (blank)

fcst_thresh [] See table 11

obs_thresh [] [] (blank)

fcst_wind_thresh [] [ “NA” ]

obs_wind_thresh [] [ “ge1.0” ]

message_type [] [ “ADPUPA”, “AIRCAR”, “AIRCFT”, “ADPSFC” ]

mask_grid [] [ “FULL” ]

mask_poly [] [] (blank)

mask_sid “” (blank)

ci_alpha [] [ 0.05 ]

boot_interval 1

boot_rep_prop 1.0

n_boot_rep 0

boot_rng mt19937

boot_seed “” (blank)

interp_method [] [ “DW_MEAN” ]

interp_width [] [ 2 ]

interp_thresh 1.0

output_flag [] [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]

rank_corr_flag 1

grib_ptv 2

tmp_dir “/tmp”

output_prefix See table 12

Version “V2.0”


17

Table 10. Point-Stat configuration file fcst_field variable settings.

Point-Stat Configuration File fcst_field Variable Settings [ “TMP/P100-225”, “TMP/P225-425”, “TMP/P425-625”, “TMP/P625-775”,

“TMP/P775-875”, “TMP/P875-910”, “TMP/P910-1010”, “HGT/P100-225”,

“HGT/P225-425”, “HGT/P425-625”, “HGT/P625-775”, “HGT/P775-875”,

“HGT/P875-910”, “HGT/P910-1010”, “UGRD/P100-225”, “VGRD/P100-225”,

“UGRD/P225-425”, “VGRD/P225-425”, “UGRD/P425-625”, “VGRD/P425-625”,



“DPT/P100-225”, “DPT/P225-425”, “DPT/P425-625”, “DPT/P625-775”,

“DPT/P775-875”, “DPT/P875-910”, “DPT/P910-1010”, “WIND/P100-225”,

“WIND/P225-425”, “WIND/P425-625”, “WIND/P625-775”, “WIND/P775-875”,

“WIND/P875-910”, “WIND/P910-1010”, “RH/P100-225”, “RH/P225-425”,

“RH/P425-625”, “RH/P625-775”, “RH/P775-875”, “RH/P875-910”,

“RH/P910-1010”, “TMP/Z2”, “UGRD/Z10”, “VGRD/Z10”,

“DPT/Z2”, “WIND/Z10”, “RH/Z2”, “PRMSL/Z0” ]

Table 11. Point-Stat configuration file fcst_thresh variable settings.

Point-Stat Configuration file fcst_thresh Variable Settings [ “gt273”, “gt273”, “gt273”, “gt273”,

“gt273”, “gt273”, “gt273”, “gt14000”,

“gt8000”, “gt4000”, “gt2000, “gt1000”,

“gt500”, “gt500”, “gt10”, “gt5”,

“gt10”, “gt5”, “gt5”, “gt5”,

“gt5”, “gt5”, “gt5”, “gt5”,

“gt5”, “gt5”, “gt5”, “gt5”,

“gt273”, “gt273”, “gt273”, “gt273”,

“gt273”, “gt273”, “gt273”, “gt20”,

“gt20”, “gt10”, “gt10”, “gt10”,

“gt5”, “gt5”, “gt20”, “gt20”,

“gt20”, “gt30”, “gt30”, “gt30”,

“gt30”, “gt273”, “gt2”, “gt2”,

“gt273”, “gt5”, “gt50”, “gt1000” ]


18

Table 12. Output_prefix variable names for Point-Stat configuration files.

Configuration File Name output_prefix variable

PointStatConfig_m1o1pb m1o1pb

PointStatConfig_m1o2as m1o2as

PointStatConfig_m2o2as m2o2as

PointStatConfig_m1o1_P2 m1o1_P2






PointStatConfig_m1o1_T3 m1o1_T3



PointStatConfig_m1o1_L4 m1o1_L4






aPointStatConfig_m1o1_B2 m1o1_B2

PointStatConfig_m1o2_B2 m1o2_B2

PointStatConfig_m2o2_B2 m2o2_B2

4.2.6 MET Stat-Analysis (Carson)

The scripts listed below execute MET Stat-Analysis on the Point-Stat output. The user is prompted for specifics to produce the desired statistics for a single day (Daily), by forecast hour for all dates (Hourly), or aggregated over all days and hours (Aggregated), for surface or upper air results for the various combinations of WRF model horizontal resolution (m1-1 km, m2-3 km), domain (o1-domain 1, o2-domain 2), and WRF model run parameters (blank-control, P2-Physics2, P8-Physics8, T3-3Second, L4-40Levels, L8-80Levels, B2-MYJ BL).

This implementation of Stat-Analysis does not use a configuration file for controlling how the statistics will be calculated and what the output will look like. Instead these variables are defined by settings, which are invoked by arguments specified in the Stat-Analysis run scripts. For all meteorological variables except wind direction, the arguments specified are as follows:


19

-job aggregate_stat –line_type MPR –out_line_type CNT

The default settings, which are invoked by the above arguments are described in the Stat-Analysis default configuration file and are also listed in a Stat-Analysis output file both of which are not presented in this guide. For reference, they are presented here in table 13.

Table 13. Stat-Analysis default configuration settings.

Variable Name Setting -out_alpha 0.05

-boot_interval 1

-boot_rep_prop 1.0

-n_boot_rep 1000

-boot_rng mt19937

-boot_seed (blank)

-tmp_dir /tmp

-rank_corr_flag 1

For wind direction, the arguments specify the use of two methods for calculating the direction as follows:

For the “ROW_MEAN_WDIR” line, the mean forecast wind direction, mean observation wind direction, and the associated error are computed for each forecast-observation vector difference. Then the means are computed across each of these forecast wind directions, observation wind directions, and their errors.

For the “AGGR_WDIR” line, all the forecast vectors are summed. Then the observation vectors are summed. The vector difference between these two summed (Aggregated) vectors provides an aggregated difference from which, the mean forecast wind direction, observation wind direction, and the associated error are computed and written out (Raby et. al., 2011).

The MET V2.0 User’s Guide contains more detailed information on Stat-Analysis (National Center for Atmospheric Research, 2009).

The Stat-Analysis scripts listed below are contained in appendix G.

• run_Stat_Analysis

Daily Analysis

• run_sfc_template.sh

• run_ua_adpupa_template.sh

20

• run_ua_acft_template.sh

• run_ua_aircar_template.sh

Hourly

• run_sfc_template_hours.sh

• run_ua_template_hours.sh

• run_ua_acft_template_hours.sh

• run_ua_aircar_template_hours.sh

Aggregated

• run_sfc_template_all_hours.sh

• run_ua_template_all_hours.sh

• run_acft_template_all_hours.sh

• run_aircar_template_all_hours.sh

4.2.7 Extract Stat-Analysis Data (Carson)

The script below performs extractions of the statistical summary results from MET Stat-Analysis. The user is prompted for the type of summary desired (Daily, Hourly, Aggregated, Upper Air Data), WRF resolution/domain combination (m1o1, m1o2, m2o2), WRF model run parameters (control, P2, P8, T3, L4, L8, B2), statistics desired, single day or multiple days, standard hours or a specific hour. This script is contained in appendix H.

run_ExtractStatAnalysis

5. Model Assessment Procedures and Checklists

The execution of the scripts to produce model assessment results following the process described in section 2 taken in its entirety can be a daunting task. The five steps logically breakdown the overall process into sub-processes each of which accomplishes a particular task. The following procedures take each of the sub-processes in order and break each down into step-by-step instructions with explanations to enable the user to simply follow the procedures to produce results. The user can track progress in following these procedures by using the checklists provided at the end of this section.

21

5.1 Procedures

There are two sources of WRF forecast data. The primary source is Jeff Passner who runs the WRF with various model parameter settings over two different locations during specific types of weather conditions in order to characterize the performance of the WRF. The two locations are DUG and KSC. The other source is the user himself running the WRF model on the HPC. In this case, we run the WRF using the “Control” parameter setting over DUG only. The capability for the user to run the WRF over KSC has not been established at this time. Steps 1−6 describe how to run the WRF on the HPC (MJM). These steps can be skipped if you are collecting Passner WRF data, so in this case proceed to step 7.

1. To begin, run the Start script on Carson. This script is invoked by typing the letter s on the command line, then [enter]. This launches a top-level automated control script, which guides the user though the various steps required to collect the evaluation data.

2. The first step involves running the “WRF_Main” script on Carson. This script performs the following:

a. Provides the user the opportunity to check on the availability of the North American Model (NAM) forecast data on the National Oceanographic and Atmospheric Agency (NOAA) Web Site.

b. Prompts the user to enter the Start/Stop Dates in this format: yyyymmdd. These dates are tracked through all of the scripts as the variables: $Start_Date and $Stop_Date.

c. Creates a subdirectory named “$Start_Date in the MET_WRFpostprd” directory. This directory is needed to deposit the post-processed data after the intended WRF run. This data is used by MET to do the required comparisons.

d. Sets up the WRF run namelist file using the Domain Wizard.

e. Runs the REAL.exe process, which sets up the initialization data (NAM, etc) for WRF.

3. The following is a step-by-step procedure showing how to launch the Start script, then interact with the “WRF_Main” script as it executes:

a. Close all instances of FireFox you have running on your workstation at this time.

b. Type the letter s on the command line (from “Scripts” directory), then [enter].

c. The user is presented nine tasks to select from. Select “1 Run WRF Initialization”.

d. The system asks you if you want to check availability of the NAM data. Select “y” to verify that the data is there at the website. A Firefox window showing the NAM data fields appears. Look at the files in the folder for current year and month. Look for the NAM data files for the correct year, month, and day. Verify that the GRIB1 files

22

(.grb) for the 0600Z forecast base time for the hours 00,03,06,09,12,15,18,21,24 are available, then close the browser. If the data are not there, cancel the WRF evaluation case study data collection for this particular date.

e. The script proceeds and prompts you to enter the desired date ($Start_Date) and the desired date plus one day ($Stop_Date).

f. After typing in the dates, the script launches Firefox for you to download the NAM data, which was verified earlier. Download all nine files. Be sure to note the successful completion of the download, and then close Firefox and the download windows.

g. The script will automatically launch the WRF Domain Wizard. Click “OK” in the middle of the first window.

h. Select “Open a domain” then click “next”.

i. Select the “Dugway_1” domain, and then click “next”.

j. Another map will appear, but just click “next”.

k. The system asks “Regenerate namelist.input?” click “no”.

l. The “Namelist.input” window appears. Select the Text Editor tab.

m. In the text window, change the start/end day entries to the desired dates, then click “Next”.

n. The “Run Preprocessors” window appears. Change the grib start/end dates to the desired dates, then click the “Select Files” button.

o. The “Grib File List” window appears. Check to see if all the NAM grib files are on the left side. If so, click “Add all” to pass the files to the right side, then “OK”.

p. In the “Run Preprocessor” window, click on “geogrid” and allow this to complete. (Note: that the TCWest server must be up and running for this to work. If it is not running, you will get an error.)

q. When “geogrid” is complete (100%), then click on “ungrib” and run until complete.

r. When “ungrib” is complete, run “metgrid” and run until complete.

s. When “metgrid” is complete, click “next” to bring up the “Visualize NetCDF” window, then click “Exit”. Expand the size of the UNIX window to see the activity of the remainder of the script. REAL.exe executes at the end of the script.

4. The following describes how to run the WRF on MJM starting from Carson:

23

a. Insert the CAC into the keyboard and launch the Start script by typing s at the prompt.

b. Select the number 3 choice, “Login to mjm”. (Important note: From the bbrown user account on Carson, the bbrown user operating on Carson will be prompted for a pin to enter MJM directly. From the jraby user account on Carson, the jraby user operating on Kelvin cannot login to MJM because the keyboard from which MJM expects to read the jraby user CAC is physically only accessible to the bbrown user.)

c. jraby user will be transferred from Carson to Kelvin. When you have the command prompt for Kelvin, run “mjmLogin N” where “N” is the number (1−7) of the MJM frontend. Note: It is not necessary to use the “N” and the command will execute without it using the last frontend from the previous login.

d. Log into MJM with pin when prompted.

e. At the MJM prompt, type s1 on the command line, then [enter].

f. The user is presented three choices to select from. The choice at this point is “1 Run WRF”.

g. “Run WRF” starts the “Start_WRF” script, which will upload the initialization files and namelist file from Carson and then starts the “run_wrf_jr_old” script that starts the WRF run. This script also sets up the output directory so the WRF output (two files) gets posted on MJM in the “WRF3011/run” directory.

5. Type the alias qsg to display the status of the WRF run in the queue and later when it’s running.

a. Note the job number (such as 33908.o2) of the WRF run for future reference.

6. Log out of MJM. Run usually completes within 24 hours of commencement.

7. The following describes how to process the PrepBUFR and download and process MADIS observational data on Carson:

a. Type the letter s on the command line, then [enter].

b. The user is presented nine tasks to select from. The choice at this point is “4 Convert PrepBUFR data to netcdf format”. This runs the “run_prepBUFR” script.

c. The user is asked to select either DUG or KSC as the desired location.

d. Check in the directory “/opt3b/PrepBUFR” to determine if the PrepBUFR directories for “$Start_Date” and “$Stop_Date” are available. A cron job automatically downloads the PrepBUFR data daily, and the data are usually available with few exceptions.


24

e. The user can then choose to continue with the process or abort if the data are not available for the required dates.

f. When the script asks if you want to proceed, answer with a “p” or a “P” to proceed, or an “x” or “X” to exit the process. The conversion to NetCDF files (pb2nc) process takes about 25 minutes to run for DUG and 55 minutes for KSC.

g. Upon completion, the PrepBUFR NetCDF files will be in a directory named “MET_obs/ncobs/$Start_Date on Carson”. Domain 1 and domain 2 observations are located together in this directory with the distinction as to which domain they belong to being made in the filenames.

h. When the conversion completes, type the letter s on the command line (from “Scripts” directory), then [enter].

i. To download the MADIS data, select from two possible choices: “5 Download MADIS Current Data (mesonet data)” or “6 Download MADIS Archived data (archived mesonet data”. Choose archived data if your start date is more than four days ago, otherwise, choose current data.

j. “5 Download MADIS Current Data” runs the “run_MADIS” script. “6 Download MADIS Archived data” runs the “run_MADIS_Archive” script. This download will take about 25 minutes to complete.

k. When the download is complete, change to the “Scripts” directory and type the letter s on the command line, then [enter].

l. Select “7 Convert MADIS ASCII data to netcdf”.

m. This runs the “ascii2netcdf” script, which performs the conversion.

n. Upon completion, the NetCDF files will be in a directory named “MET_obs/ncobs/” on Carson. There are two subdirectories created, which separate the observations into those for domain 1 and those for domain 2. The subdirectory names are “$Start_Date_d1 and $Start_Date_d2”.

o. Archive the contents of the “ncobs” directory after you confirm the data is good.

(1) There are two data backup discs on Carson.

(a) Archive locations:

(i) /opt4b/DataBackup/jraby/ to the appropriate folder(s) as needed to archive the desired folder.

(ii) /opt2b/DataBackup/jraby/ to the appropriate folder(s) as needed to archive the desired folder.

25

(b) Copy the “ncobs” folder from “jraby” home directory to the “opt2b” archive folder.

(c) Go to /opt4b/DataBackup and execute the rsync command to update (copy) the directory tree on the opt4b backup disc with the data on the opt2b backup disc on Carson as follows: rsync -av /opt2b/DataBackup/jraby/ jraby

(2) On the archive directory on HPC (Harold):

(a) Archive location:

(i) archive/armyc/jraby

(b) Go to /archive/armyc and execute the rsync command to update the directory tree on Harold with the data on the opt2b backup disc on Carson as follows:

rsync -av --rsh=ssh carson.arl.army.mil:/opt2b/DataBackup/jraby/ jraby

8. The following describes how to do the post processing of the WRF output on MJM after the WRF run is complete. Note: If you want to post-process Passner WRF runs, you must first copy the files from Passner’s account into your account in the “WRF3011/run” directory. Passner’s runs have filenames, which contain extra characters to indicate the WRF parameter setting. These characters must be removed by renaming the file to the standard names, which for the example start_date of 20090326 are as follows: wrfout_d01_2009-03-26_06:00:00 and wrfout_d02_2009-03-26_06:00:00

a. Verify that the WRF run completed successfully or that the Passner WRF output is ready for post-processing by checking the “WRF3011/run” directory on MJM for the presence of two WRF output files for appropriate start date.

b. On MJM, from your home directory, launch the Start script by typing s1 at the prompt.

c. Select the number 2 task, “Post process WRF output”.

d. This will run the “WRF_Post_Process” and the “run_wrfpost_frames_template” scripts.

e. The first script will prompt you for the start date of the run (yyyymmdd) to be entered on the keyboard and sets up directories for storing the results.

f. After the start date is entered, the second script runs for about 30 minutes and produces the standard hourly WRF output files for domains 1 and 2 (50 files) from the native WRF output.

26

g. The second script copies the 50 output files from the “WRF3011/run” directory into the date directory for the WRF run (“WRFOUT/named date directory/postprd”).

h. When the second script finishes, run the Start script, “s1”, number 3 task on MJM, which transfers the post-processed output data from MJM to Carson (into “MET_WRFpostprd/$Start_Date” directory). This runs the script “post_carson” and takes about 10 minutes to complete.

Important: If you are post-processing Passner WRF variation runs, you must be sure to create named directories corresponding with the particular WRF variations on Carson prior to transferring the post-processed output from MJM. This is accomplished by running “s” on Carson and selecting option 2, “Create Passner Directories”. This will make subdirectories in “MET_WRFpostprd/” for each start date/variation as follows:

(1) yyyymmdd–Control

(2) yyyymmdd_P2–Physics2

(3) yyyymmdd_P8−Physics8

(4) yyyymmdd_T3–3Second

(5) yyyymmdd_L4–40Levels

(6) yyyymmdd_L8–80Levels

(7) yyyymmdd_B2–MYJ BL

To transfer Passner WRF runs to the appropriate directory on Carson, run the Start script “s2” on MJM and select the option for posting the particular WRF variation data you want to transfer. Confirm that the 50 files are in the appropriate directory on Carson, then delete the 50 files from “WRFOUT/named date directory/postprd”.

i. Exit from MJM.

j. Archive the “MET_WRFpostprd” directory or subdirectories when the results are final.





27

(b) Copy the “MET_WRFpostprd” folder from “jraby” home directory to the “opt2b” archive folder.




(i) /archive/armyc/jraby

(b) Go to /archive/armyc and execute the rsync command to update the directory tree on Harold with the data on the opt2b backup disc on Carson as follows:

rsync -av --rsh=ssh carson.arl.army.mil:/opt2b/DataBackup/jraby/ jraby

9. The following describes the procedure to run the MET Point-Stat tool on Carson to produce statistics on how the WRF forecast compares with the point observations.

Note: Prior to taking the steps below, be sure to check the names of the directories from which the observations and WRF forecasts will be read as dictated by the way the current scripts have been written.

For the observations, the directory names are “MET_obs/ncobs/$Start_Date” for PrepBUFR and

“MET_obs/ncobs/$Start_Date_d1 and MET_obs/ncobs/$Start_Date_d2” for MADIS

For the forecasts, the directory names are:

“MET_WRFpostprd/$Start_Date” for the control variation and “$Start_Date_XX” for the other WRF variations where XX is the variation P2, P8, T3, L4, L8, and B2.

As of the date of publication of these procedures, the data contained in the directories described above contains data for the KSC location for which Point-Stat has NOT been run. Therefore, when Point-Stat is run, the statistics produced will be for the KSC data. There are similarly-named directories on Carson, which contain archived observations and forecasts for DUG for which Point-Stat and Stat-Analysis results have already been produced. These directories are named as follows:

“Observations: MET_obs/ncobs_DUG”

“Forecasts: MET_WRFpostprd_DUG”

28

It is not anticipated that the data contained in these archive directories will need to be rerun using Point-Stat, but if that were the case, the user would need to rename the directories, which presently contain the KSC data to append “KSC” to the directory name and remove the “DUG” designation from the archive directory names so that the Point-Stat scripts will read the data for DUG.

a. On Carson, launch the Start script by typing s at the prompt.

b. Select the number 8 choice, “Run Point-Stat”.

c. This will run the “Run_Point_Stat” script. This takes about seven minutes to complete.

d. The script will prompt you for the start date of the post-processed WRF data.

e. The script will prompt you for the WRF variation (CO, P2, P8, T3, L4, L8, B2).

f. The script will prompt you for the model resolution/domain combination (m1o1, m1o2, m2o2).

g. The script then sets up the date-specific directory where the Point-Stat output files will be placed. This directory is a subdirectory of the “MET_PointStat” directory in your home directory. The path to the output files is: MET_PointStat/ results_(resolution/domain)_(variation) /YYYYmmdd (date-specific directory). Note: The control variation results will be in a directory, which does not have the (variation) appended to the directory name. The output files contain evaluation statistics for each WRF forecast hour of the 25 produced.

h. Point-Stat log files documenting run activity, warnings and errors are posted in MET_PointStat/logs.

Note: There is a similarly-named “MET_PointStat” directory, which has “DUG” appended to the name that serves as an archive directory for the Point-Stat results already produced. This directory will not be written to by following the instructions above. As of the publication date of this User’s Guide, the Point-Stat output will be written to the “MET_PointStat” directory and will contain results for KSC.

10. The following describes the procedures for performing QC checks of the statistical data from the Point-Stat output files. The file of interest contains the character string, “cnt.txt”, at the end of the filename. This file contains the Mean Error (ME) or Bias, the Mean Absolute Error (MAE), Root Mean Square Error (RMSE) statistics for 2-m surface temperature (TMP Z2), 2-m dew point temperature (DPT Z2), 2-m relative humidity (RH Z2), 0-m pressure (PRMSL Z0), 10-m wind U-component (UGRD Z10), 10-m wind V-component (VGRD Z10), 10-m wind speed (WIND Z10), and the total number of

29

matched pairs (TOTAL) which were used to generate the above statistics. This file also contains numerous other statistics.

a. QC the Point-Stat output by opening some of the cnt.txt files.

b. Examine the TOTAL, ME, MAE and RMSE stats to detect unreasonable results produced by an error of some type.

c. Examine the log files to detect “WARNING” or “ERROR” messages.

11. Archive the Point-Stat output files when you confirm the results are final.

a. There are two data backup discs on Carson.

(1) Archive locations:

(a) /opt4b/DataBackup/jraby/ to the appropriate folder(s) as needed to archive the desired folder.

(b) /opt2b/DataBackup/jraby/ to the appropriate folder(s) as needed to archive the desired folder.

(2) Copy the “MET_PointStat” folder from “jraby” home directory to the “opt2b” archive folder.

(3) Go to /opt4b/DataBackup and execute the rsync command to update (copy) the directory tree on the opt4b backup disc with the data on the opt2b backup disc on Carson as follows: rsync -av /opt2b/DataBackup/jraby/ jraby

b. On the archive directory on HPC (Harold):

(1) Archive location:

(a) /archive/armyc/jraby

(2) Go to /archive/armyc and execute the rsync command to update the directory tree on Harold with the data on the opt2b backup disc on Carson as follows: rsync -av --rsh=ssh carson.arl.army.mil:/opt2b/DataBackup/jraby/ jraby

12. The following describes the procedures for aggregating the results of numerous WRF runs with Point-Stat results over many case study days. This procedure involves the use of the MET Stat-Analysis tool.

13. Stat-Analysis looks for the .stat files located in the Point-Stat output files. These output files are located in: “MET_PointStat/ results_(resolution/domain)_(variation) /YYYYmmdd” (date-specific directory).

30

a. Note: Prior to running Stat-Analysis, be sure to check the names of the directories from which the Point-Stat output will be read as dictated by the way the current scripts have been written. As of the date of publication, the above-named directories contain data from the KSC domains. There are similarly-named Point-Stat output directories, which contain archived data for DUG. These have “DUG” appended to the directory name as follows:

“MET_pointStat_DUG/ results_(resolution/domain)_(variation) /YYYYmmdd” (date-specific directory)

14. Stat-Analysis can produce various types of statistical output based on user-defined aggregation criteria. The following are all the possible types of aggregations of Point-Stat output:

a. Surface and/or upper air results for one day.

b. Surface and/or upper air results over multiple dates:

(1) Option 1–Hourly output over all days

(2) Option 2–Output aggregated over all days and all hours

15. To run Stat-Analysis, type run_Stat_Analysis from anywhere on Carson. The user will be prompted as needed to produce the desired output. Instructions specific to the types of aggregated output are as follows:

a. Surface and/or upper air results for one day (Daily Analysis):

(1) Select option 1 for one date.

(2) Enter the desired date of the completed WRF run as yyyymmdd.

(3) Enter the desired WRF variation from the list of possible choices.

(4) Enter the desired resolution/domain from the list of possible choices (m1o1, m1o2, or m2o2).

(5) The output will be located in MET_StatAnalysis/Summary_byDay/$Start_Date

b. Surface and/or upper air results over multiple dates:

(1) Select option 2–Aggregate over many dates.




31

(4) Select from the following two options for output:

(a) Option 1–Hourly output over all days (Hourly):

(i) Output will be in “MET_StatAnalysis/Summary_byHour/” in a subdirectory, which is named according to the model resolution/domain combination_WRF variation designation. Ex. m1o1_CO_sfc. Under this subdirectory, there are other subdirectories, which are named for the appropriate forecast hour.

(b) Option 2–All days, all hours accumulated (Aggregated)”

(i) Output will be in “MET_StatAnalysis/Summary_byHour/” in a subdirectory, which is named according to the model resolution/domain combination_WRF variation designation. For example “m1o1_CO_sfc”. Under this subdirectory there is another subdirectory which is named “allhrs” that contains the aggregated result files.

c. QC the Stat-Analysis output by spot-checking the output files as follows:

(1) QC the Stat-Analysis output by opening some of the .txt files.

(2) Examine the TOTAL, ME, MAE and RMSE stats to detect unreasonable results produced by an error of some type.

(3) Examine the log files to detect “WARNING” or “ERROR” messages.

d. Archive the Stat-Analysis output files when you are sure the results are final.





(b) Copy the “MET_StatAnalysis” folder from “jraby” home directory to the “opt2b” archive folder.



32



(b) Go to /archive/armyc and execute the rsync command to update the directory tree on Harold with the data on the opt2b backup disc on Carson as follows: rsync -av --rsh=ssh carson.arl.army.mil:/opt2b/DataBackup/jraby/ jraby

16. The Stat-Analysis extraction script takes MET Stat-Analysis output files and selectively extracts the statistical data based on user input.

a. The Stat-Analysis extraction script looks for the .txt files located in the Stat-Analysis output directory. These output files are located in: MET_StatAnalysis/ in subdirectories “Summary_byDay” and “Summary_byHour” in subdirectories named for the model resolution/domain/WRF variation and finally in subdirectories for the “$Start-Date (yyyymmdd)”. As of the publication date, there are only test data for KSC in the above directories, so following the steps below will extract KSC test data. These test data will be replaced by KSC case study data for 20 case study days within the next few months. There is a similarly-named directory for DUG Stat-Analysis archived results called “MET_StatAnalysis_DUG”.

b. The Stat-Analysis extraction script places the results in a folder called “Results”. There is a similarly named folder called “Results_DUG”, which contains the archived DUG-extracted data. At publication time, no MET_StatAnalysis data for KSC has been extracted, so there is no “Results” folder. This folder, created by the extraction script, will be populated in the coming months when the KSC case study data is processed.

17. To extract Stat-Analysis results for the above output, you must decide which type of report you want to produce. The options, described in steps 15a and 15b, are as follows:

a. Surface results for one day (see step 15a).

(1) On Carson, type run_ExtractStatAnalysis from anywhere.

(2) Select “(3) Daily Surface data for a Model and WRF Variation”.



(5) Select from the three choices for output statistics:

(a) ME, MAE, RMSE and TOTAL

33

(b) ME, MAE, RMSE, TOTAL with confidence intervals (CI)

(c) Other statistics (pick from list of 71 statistics)

Note: For a list that briefly describes all the statistics refer to table 14. For a complete description of all the statistics, the user is referred to the MET Version 2.0 User’s Guide (National Center for Atmospheric Research, 2009).

(6) Data files (.DAT) containing the ME, MAE and RMSE error statistics and the total number of forecast minus observation pairs (TOTAL) for all surface met variables for all dates for which Stat-Analysis was run to produce surface results for one day are located in results/days/sfc (see step 15a). The results for each day are placed in one row of output. The statistical results are located in columns with headers describing the particular statistic. When the files are opened by MS Excel, they can be read and further processed as desired.

b. Surface results over multiple dates−hourly output (see step 15b-1).

(1) On Carson, type run_ExtractStatAnalysis.

(2) Select option (1)–surface hourly data.



(5) Select from the three choices for output statistics:


(b) ME, MAE, RMSE, TOTAL with CI

(c) Other statistics (pick from list of 71 statistics listed in table 14)

(6) Data files (.DAT) containing the desired error statistics for all surface met variables over all dates for which Stat-Analysis was run to produce surface results for each forecast hour (00−24) are located in results/hours/hourly (see step 15b-1). The results for each hour are placed in one row of output. The statistical results are located in columns with headers describing the particular statistic. When the files are opened by MS Excel, they can be read and further processed as desired.

c. Surface results over multiple dates–All days, all hours accumulated output (see step 15b-2).


34

(2) Select option 2–surface data over all days and hours.


(4) Select from the three choices for output:



(c) Other statistics (pick from list of 71 statistics listed in table 14)

(5) Data files (.DAT) containing the desired error statistics for all surface met variables over all dates for which Stat-Analysis was run to produce surface results over all forecast hours (00−24) for each WRF variation are located in results/hours/allhrs (see step 15b-2). The results for each WRF variation are placed in one row of output. The statistical results are located in columns with headers describing the particular statistic. When the files are opened by MS Excel, they can be read and further processed as desired.

d. Upper air ADPUPA (RAOB) data for hour 00Z, hour 12Z, or both hours for all days (see steps 15a or 15b).


(2) Select option 4–Upper air data for hour 00Z, hour 12Z, a user-specified hour, or all hours, or daily?



(5) Select the output option desired from the choices below:

(a) 12Z/HR 6 (Evaluates the 6-hour WRF forecast valid at 12Z)

(b) 00Z/HR 18 (Evaluates the 18-hour WRF forecast valid at 00Z)

(c) User-specified hour

(d) All (12Z, 00Z) hours aggregated

(e) Daily: single day

(6) Select from the three choices for output:


35


(c) Other statistics (pick from list of 71 statistics from table 14)

(7) Data files (.DAT) containing the desired error statistics for all upper air met variables over all dates for which Stat-Analysis was run to produce upper air results for forecast hours 12Z, 00Z, or both for each WRF variation (see steps 15a or 15b). The results for each upper air level are placed in one row of output. The statistical results are located in columns with headers describing the particular statistic. When the files are opened by MS Excel, they can be read and further processed as desired.

(8) DAT file location:

(a) For results aggregated over all days and all hours: results/hours/ua/adpupa or aircft or aircar.

(b) For results aggregated over all hours for a single day: results/days/ua/adpupa or aircft or aircar.

Important: When importing DAT files, be sure to select the “Fixed Width” option for the data type as opposed to “Delimited”, which Excel sometimes sets as the default for these files. With the exception of the “TOTAL” forecast-observation pair count, format the cells of the spreadsheet, which will contain your statistics data to “Numeric” with two decimal places. The “General” (default) format works best for the TOTAL count and for the headers. For DAT files with CI statistics, it is helpful to insert additional column breaks to separate the numerous columns of data, which are repeated for each MET variable.

36

Table 14. The statistics are presented in the order with the numerical assignment used when they are presented in the user interface menu of run_ExtractStatAnalysis.

Statistic Name/Menu Option Number

Statistic Description

FBAR (2), FBAR_NCL (3), FBAR_NCU (4), FBAR_BCL (5), FBAR_BCU (6)

Forecast mean including normal and bootstrap upper and lower confidence limits.

FSTDEV (7), FSTDEV_NCL (8), FSTDEV_NCU (9), FSTDEV_BCL (10), FSTDEV_BCU (11)

Standard deviation of the forecasts including normal and bootstrap upper and lower confidence limits.

OBAR (12), OBAR_NCL (13), OBAR_NCU (14), OBAR_BCL (15), OBAR_BCU (16)

Observation mean including normal and bootstrap upper and lower confidence limits.

OSTDEV (17), OSTDEV_NCL (18), OSTDEV_NCU (19), OSTDEV_BCL (20), OSTDEV_BCU (21)

Standard deviation of the observations including normal and bootstrap upper and lower confidence limits.

PR_CORR (22), PR_CORR_NCL (23), PR_CORR_NCU (24), PR_CORR_BCL (25), PR_CORR_BCU (26)

Pearson correlation coefficient including normal and bootstrap upper and lower confidence limits.

SP_CORR (27) Spearman’s rank correlation coefficient. KT_CORR (28) Kendall’s tau statistic. RANKS (29) Number of ranks used in computing Kendall’s tau

statistic. FRANK_TIES (30) Number of tied forecast ranks used in computing

Kendall’s tau statistic. ORANK_TIES (31) Number of tied observation ranks used in computing

Kendall’s tau statistic. ME (32), ME_NCL (33), ME_NCU (34), ME_BCL (35), ME_N=BCU (36)

Mean error (F−O) including normal and bootstrap upper and lower confidence limits.

ESTDEV (37), ESTDEV_NCL (38), ESTDEV_NCU (39), ESTDEV_BCL (40), ESTDEV_BCU (41)

Standard deviation of the error including normal and bootstrap upper and lower confidence limits.

MBIAS (42), MBIAS_BCL (43), MBIAS_BCU (44) Multiplicative bias including bootstrap upper and lower confidence limits.

MAE (45), MAE_BCL (46), MAE_BCU (47) Mean absolute error including bootstrap upper and lower confidence limits.

MSE (48), MSE_BCL (49), MSE_BCU (50) Mean squared error including bootstrap upper and lower confidence limits.

BCMSE (51), BCMSE_BCL (52), BCMSE_BCU (53) Bias-corrected mean squared error including bootstrap upper and lower confidence limits.

RMSE (54), RMSE_BCL (55), RMSE_BCU (56) Root mean squared error including bootstrap upper and lower confidence limits.

E10 (57), E10_BCL (58), E10_BCU (59), E25 (60), E25_BCL (61), E25_BCU (62), E50 (63), E50_BCL (64), E50_BCU (65), E75 (66), E75_BCL (67), E75_BCU (68), E90 (69), E90_BCL (70), E90_BCU (71)

10th, 25th, 50th, 75th, and 90th percentiles of the error including bootstrap upper and lower confidence limits.


37

e. Archive the DAT files when you are sure the data is final.

(1) There are two data backup discs on Carson:




(b) Copy the results folder from “jraby” home directory to the “opt2b” archive folder.





(b) Go to /archive/armyc and execute the rsync command to update the directory tree on Harold with the data on the opt2b backup disc on Carson as follows: rsync -av --rsh=ssh carson.arl.army.mil:/opt2b/DataBackup/jraby/ jraby

5.2 Checklists

The following checklist summarizes and tracks the steps required to produce and collect WRF evaluation data and perform MET evaluations. Print out hardcopies of this checklist, Collect WRF Evaluation Data–Run WRF Model, located in appendix I. Note: If you are not going to run the WRF and want to work with Passner WRF runs, do not use this checklist. A separate checklist for this task is provided in step 19.

18. Use this checklist for running the WRF:

a. Day 1−Run the Start Script (s), Task #1 on Carson to process the WRF initialization data. _________.

b. Day 1–For Kelvin, if a. is completed successfully, run the “s”, Task #3 on Carson to prepare for and run the WRF on MJM.__________. For Carson, log onto MJM and proceed with c. below_________.

38

c. Day 1–On MJM, run the “s1 ”, Task #1 to start the WRF. Note the job number _______.

d. Day 1−Periodically check the status of the WRF run on MJM using “qsg” alias.____.

e. Day 1–Run the “s”, Task #4 on Carson to convert the PrepBUFR data._________.

f. Day 1–Run the “s”, Task #5 or #6 on Carson as needed for downloading MADIS current or archived data._________.

g. Day 1–Run the “s”, Task #7 to convert the MADIS ASCII data files to netcdf format._______.

h. Day 2–Check the status of the WRF run on MJM. If complete, check the presence of the 2 WRF output files in WRF3011/run directory on MJM.________.

i. Day 2–If the 2 output files are present on MJM, run the “s1”, Task #2 on MJM to post-process the WRF output.________.

j. Day 2–When the post-processing is complete, run the “s1”, Task #3 on MJM to transfer the post-processed data to Carson._________.

k. Day 2−When the transfer is complete, exit from MJM and run the “s”, Task #8 on Carson to run the Point-Stat application to produce evaluation statistics.______.

l. Day 2–When Point-Stat is complete, QC the Point-Stat results._______.

m. Day 2−Archive the Point-Stat result files on the “L” drive in the archive folder._______.

n. Day 2 or beyond–Run Stat-Analysis as needed to produce aggregated results and summaries of statistics for analysis. See separate checklists in step 20 below.

o. Day 2 or beyond–Extract Stat-Analysis results to prepare files suitable for importing into MS Excel and to produce tables and graphs for analysis and publication. See separate checklist in step 21 below.

The following checklist summarizes and tracks the steps required to collect Passner WRF evaluation data. Print out hardcopies of this checklist, Collect WRF Evaluation Data–Process Passner WRF Runs, located in appendix J.

19. Use this checklist for Passner WRF runs:

a. Day 1−Confirm that the PrepBUFR data and MADIS observational data have been collected on Carson for Passner’s case study dates and have been converted to netcdf format._________.

39

b. Day 1–On MJM, copy Passner WRF output files (2) to your WRF3011/run directory.________.

c. Day 1–On MJM, run the “s1” script and select #2 to post-process Passner WRF output ________.

d. Day 1–When the post-processing is complete, run the “s” script, task #2 on Carson to create the appropriate directories for the post-processed WRF output. _______.

e. Day 1–On MJM, run “s2” to transfer the 50 WRF output files to Carson.______.

f. Day 1−On MJM, delete the 50 WRF files from WRFOUT/named date directory/postprd. _______.

g. Day 1–Exit from MJM and run the “s”, Task #8 on Carson to run the Point-Stat application to produce evaluation statistics.______.

h. Day 1–hen Point-Stat is complete, QC the Point-Stat results._______.

i. Day 1–Archive the Point-Stat result files on the “L” drive in the archive folder._______.

j. Day 2 or beyond–Run Stat-Analysis as needed to produce aggregated results and summaries of statistics for analysis. See separate checklist in step 20.

k. Day 2 or beyond–Extract Stat-Analysis results to prepare files suitable for importing into MS Excel to produce tables and graphs for analysis and publication. See separate checklist in step 21.

The following is a checklist for use of Stat-Analysis to produce aggregations of statistical results for analysis and publication:

20. Use this checklist for Stat-Analysis:

a. For surface and/or upper air results for one day (Daily Analysis, see step 15a).

(1) “run_Stat_Analysis”, option #1, for start_date, WRF variation and resolution/domain.

(2) Use the checklist in figure 4 to keep track of progress or print out hardcopies of this checklist, which is located in appendix K.


40

Start_Date______________ Domain CO P2 P8 T3 L4 L8 B2

m1o1 m1o2 m2o2

Figure 4. Example 1 of StatAnalysis checklist (single day).

(1) Results are at: MET_StatAnalysis/Summary_byDay/$Start_Date.

(2) QC the Stat-Analysis results.

b. For surface and/or upper air results over multiple dates―hourly output (Hourly, see step 15b).

(1) “run_Stat_Analysis”, option #2 (over many dates), WRF variation and resolution/domain.

(2) Select option #1 for hourly output.

(3) Use the checklist in figure 5 to keep track of progress or print out hardcopies of this checklist, which is located in appendix L.

Each hour, All days (option 1)

Domain CO P2 P8 T3 L4 L8 B2 m1o1 m1o2 m2o2

Figure 5. Example of StatAnalysisAggregated checklist (option 1).

(4) Results are at: MET_StatAnalysis/Summary_byHour/mxox_XX_xxx/hrxx (see step 15b-1 for an explanation).


c. For surface and/or upper air results over multiple dates―all days, all hours (Aggregated, see step 15b output).

(1) “run_Stat_Analysis”, option #2 (over many dates), WRF variation and resolution/domain.

(2) Select option #2 for all days, all hours output.

41

(3) Use the checklist in figure 6 to keep track of progress or print out hardcopies of this checklist, which is located in appendix L.

All hours, All days (option 2)


Figure 6. Example of StatAnalysisAggregated checklist (option 2).

(4) Results are at: MET_StatAnalysis/Summary_byHour/mxox_XX_xxx/allhrs (see step 15b-2 for an explanation).


Below is a checklist for extraction of Stat-Analysis results for ingest into a MS Excel spreadsheet for analysis and report generation:

21. Use the checklist below for Stat-Analysis results extraction:

a. For surface results for one day:

(1) Run run_ExtractStatAnalysis, option #3 on Carson, for resolution/domain, WRF variation, Choice #1 for standard stats (ME, MAE, RMSE, TOTAL), Choice #2 for standard stats plus CI stats, Choice #3 for a list of all stats from which to choose ______. (See list of available stats in table 14.)

(2) DAT file output location: results/days/sfc. Note: These files contain results for each day, for all case study days.

(3) Copy DAT files from Carson to PC for conversion into MS Excel files.______.

(4) Use the checklist in figure 7 to keep track of progress or print out hardcopies of this checklist, which is located in appendix K.


m1o1 m1o2 m2o2

Figure 7. Example 2 of StatAnalysis checklist (single day).

b. For surface results over multiple dates–hourly output:


42

(1) Run run_ExtractStatAnalysis on Carson, option #1 (hourly data), resolution/domain, WRF variation, Choice #1 for standard stats (ME, MAE, RMSE, TOTAL),Choice #2 for standard plus CI stats, Choice #3 for a list of all stats from which to choose.______. (See list of available stats in table 14.)

(2) DAT file output location: results/hours/hourly


(4) Use the checklist in figure 8 to keep track of progress or print out hardcopies of this checklist, which is located in appendix M.


Figure 8. Example 1 of StatAnalysisSFCHourlyExtraction checklist.

c. For surface results over multiple dates–all days, all hours accumulated (Aggregated) for each WRF variation output:

(1) Run run_ExtractStatAnalysis on Carson, option #2 (all days, all hours data), resolution/domain, Choice #1 for standard stats (ME, MAE, RMSE, TOTAL), Choice #2 for standard plus CI stats, Choice #3 for a list of stats from which to choose.______. (See list of available stats in table 14.)

(2) DAT file output location: results/hours/allhrs


(4) Use the checklist in figure 9 to keep track of progress or print out hardcopies of this checklist, which is located in appendix M.


Figure 9. Example 2 of StatAnalysisSFCHourlyExtraction checklist.

d. For upper air ADPUPA (RAOB), AIRCFT (aircraft reports), or AIRCAR (ACARS observations) data–12Z, 00Z or both together, for all days or a single day:

43

(1) For ADPUPA data, run run_ExtractStatAnalysis on Carson, option #4 enter ADPUPA, resolution/domain, WRF variation, choice of output as follows:

(a) 12Z/HR 6

(b) 00Z/HR18

(c) User-specified hour

(d) All (12Z,00Z) hours aggregated over all days

(e) User-specified day

(2) Choice #1 for standard stats (ME, MAE, RMSE, TOTAL), Choice #2 for standard plus CI stats, Choice #3 for a list stats from which to choose.______. (See list of available stats in table 14.)

(3) DAT file location:

(a) For results aggregated over all days and all hours: Results/hours/ua/adpupa or aircft or aircar.

(b) For results aggregated over all hours for a single day: Results/days/ua/adpupa or aircft or aircar.

(4) Copy DAT files from Carson to PC for conversion into MS Excel files.______. Important: Use “Fixed Width” option in Excel to import upper air DAT files.

(5) For extracting RAOB data for a single day or all days use the checklist in figure 10 or print out hardcopies of this checklist, which is located in appendix N.

Domain CO P2 P8 T3 L4 L8 B2

m1o1

Figure 10. Example of StatAnalysisSingleDayADPUPAExtraction checklist.

44

6. References

National Center for Atmospheric Research. Model Evaluation Tools Version 2.0 User’s Guide; Developmental Testbed Center: Boulder, CO, 2009.

Raby et al. Traditional Statistical Measures Comparing Weather Research and Forecast Model Output to Observations Centered Over Utah; ARL-TR-5422; U.S. Army Research Laboratory: White Sands Missile Range, NM, 2011.

Sauter et al. Traditional Statistical Measures Comparing Weather Research and Forecast Model Output to Observations Centered Over Utah; ARL internal report; U.S. Army Research Laboratory: White Sands Missile Range, NM, 2009.


45

Appendix A. Top-Level Scripts

kate.g.smith

Typewritten Text

Use bookmark pane to go back to main body

46

s #Script Purpose: Top Level start script #Author: Brown/Raby #Date: 09/01/2010 #Script Name: s #Script Location: carson home directory, jraby account #Scripts Called: WRF_Main, Create_Passner_Directories, run_prepBUFR, run_MADIS, run_MADIS_Archive, ascii2netcdf, run_Point_Stat clear echo " " echo " MODEL ASSESSMENT" echo " " echo "Enter number of task" echo " 1 Run WRF Initialization" echo " 2 Create Passner Directories" echo " 3 Login to mjm " echo " 4 Download prepBUFR Data (metar, synoptic and upper air)" echo " " echo " 5 Download MADIS Current Data (mesonet data)" echo " 6 Download MADIS Archived Data (current mesonet data)" echo " 7 Convert MADIS ASCII data to netcdf" echo " " echo " 8 Run Point-Stat" echo " 9 Edit Scripts " echo " 10 Quit " echo " " echo " " echo " " echo " " echo " " read response case $response in # Start of case (1) echo " " echo " " echo "Running WRF_Main" echo " " echo " " WRF_Main ;; (2) echo " " echo " " echo "Creating Passner WRF runs on Carson (control, P2, P8, T3, L4, L8, B2)" echo " " echo " " Create_Passner_Directories ;;

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

47

(3) echo " " echo " " echo "Logging on to mjm" echo " " echo " " mjmLogin ;; (4) echo " " echo " " echo "Downloading prepBUFR Data (metar, synoptic and upper air)" echo " " echo " " run_prepBUFR ;; (5) echo " " echo " " echo "Downloading MADIS Current Data (mesonet data)" echo " " echo " " run_MADIS ;; (6) echo " " echo " " echo "Downloading MADIS Archived Data (mesonet data)" echo " " echo " " run_MADIS_Archive ;; (7) echo " " echo " " echo "Converting MADIS ASCII data to netcdf" echo " " echo " " ascii2netcdf ;; (8) echo " " echo " " echo "Running Point-Stat" echo " " echo " " run_Point_Stat ;;

48

(9) cd Scripts clear ls echo "Enter the name of script to edit" read response2 vi $response2 ;; (10) exit 0 ;; esac # end of case ------------------------------------------

49

s1 #Script Purpose: Automate the Model Assessment Data Collection #Author: Brown/Raby #Date: 06/18/2010 Script Name: s1 #Script Location: mjm Scripts directory, jraby account #Scripts Called: Start_WRF, WRF_Post_Process, post_carson clear echo " " echo " MODEL ASSESSMENT" echo " " echo "Enter number of task" echo " 1 Run WRF" echo " 2 Post process WRF output" echo " 3 Download post-processed data to carson" echo " 4 Quit " echo " " echo " " echo " " echo " " read response case $response in # Start of case (1) echo " " echo " " echo "Running Start_WRF" echo " " echo " " Start_WRF ;; (2) echo " " echo " " echo "Running WRF_Post_Process" echo " " echo " " WRF_Post_Process ;; (3) echo " " echo " " post_carson ;; (4) exit 0 ;; esac # end of case ------------------------------------------

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

50

s2 #Script Purpose: Download post-processed output from Passner's WRF runs #Author: Brown/J.Raby/Y.Raby #Date: 06/21/2010 Script Name: s2 #Script Location: mjm Scripts directory, jraby account #Scripts Called: post_carson_control, post_carson_P2, post_carson_P8, post_carson_T3, post_carson_L4, post_carson_L8, post_carson_B2 clear echo " " echo " MODEL ASSESSMENT" echo " " echo "Enter number of task" echo " 1 Post WRF Control run output" echo " 2 Post WRF P2 run output" echo " 3 Post WRF P8 run output" echo " 4 Post WRF T3 run output" echo " 5 Post WRF L4 run output" echo " 6 Post WRF L8 run output" echo " 7 Post WRF B2 run output" echo " 8 Quit" echo " " echo " " read response case $response in # Start of case (1) echo " " echo " " echo "Posting WRF Control run output" echo " " echo " " post_carson_control ;; (2) echo " " echo " " echo "Posting WRF P2 run output" echo " " echo " " post_carson_P2 ;; (3) echo " " echo " " echo "Posting WRF P8 output" echo " " echo " " post_carson_P8 ;; (4) echo " "

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

51

echo " " echo "Posting WRF T3 output" echo " " echo " " post_carson_T3 ;; (5) echo " " echo " " echo "Posting WRF L4 output" echo " " echo " " post_carson_L4 ;; (6) echo " " echo " " echo "Posting WRF L8 output" echo " " echo " " post_carson_L8 ;; (7) echo " " echo " " echo "Posting WRF B2 output" echo " " echo " " post_carson_B2 ;; (8) exit 0 ;; esac # end of case ------------------------------------------

52


53

Appendix B. Embedded Scripts: Run WRF Forecast (Carson, Kelvin, MJM)

kate.g.smith

Typewritten Text


54

WRF_Main # Script Purpose: Automate the process of running the WRF Model # Author Brown/Raby # Date: 05/04/2010 # Script Name: WRF_Main # Script Location: carson scripts directory, jraby account # Calling Script: s # Scripts Called: # --------------------------------------------- echo "Check for NAM data availability?" read response1 echo " " echo " " case $response1 in # Start of Case ========================= (y|Y) firefox ;; (n|N) # exit 0 ;; esac # end of case # Enter Dates ==================================================== # Enter Start date clear echo "Enter Start Date and Stop Date (YYYYmmdd) <space> (YYYYmmdd)" read Start_Date Stop_Date # Establish dir Start_Date in MET_WRFpostprd for the post processed WRF data cd ~/MET_WRFpostprd/ mkdir $Start_Date # Get NAM Data to Initialize WRF =============================== cd ~/NAM rm nam_218* firefox # WRF Preprocessing =============================================== cd ~/WRF/WRFDomains_3011/Dugway_1 rm met_em* # Clean out old data files rm FILE:* # Clean out old data files cd ~/WRF/WRFDomainWizard311 run_DomainWizard # Start Domain Wizard # Run Real ======================================================= cd ~/WRF/WRF3011/run rm met_em* cp ~/WRF/WRFDomains_3011/Dugway_1/met_em* . cp ~/WRF/WRFDomains_3011/Dugway_1/namelist.input . real.exe

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

55

mjmLogin #============================================================================== author () { ${ECHO} "# 27-Oct-2010\t\t~rflaniga/Scripts/${script_name}" ${ECHO} "# R.Flanigan\t\t(575)678-2717\[email protected]" } #============================================================================== options () { ${ECHO} "# NONE:" author ${ECHO} "#---------------------------------------------------------------------" ${ECHO} "# FORMAT: ${script_name} [1..8 Front End Number]" ${ECHO} "#---------------------------------------------------------------------" ${ECHO} "# Login in to MJM with CAC Card" ${ECHO} "#---------------------------------------------------------------------" } #============================================================================== decode_command_line_String () { for param in $1 do # ${ECHO} "PARAM=${param}" case ${param} in 1|2|3|4|5|6|7|8) FrontEndNumber=`echo "${param}" | cut -d ":" -f 2 - ` ;; OLD|Old|old) relm="OLD" ;; SSH|Ssh|ssh) Connection="SSH" ;; *) ${ECHO} "\nERROR: Bad Front End Number \"${param}\"" ;; esac done } #============================================================================== MainLoop () { ChangeKerberosPipe if [ "${relm}" = "OLD" ] then

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

56

pkinit ${USER}@ARL.HPC.MIL else pkinit ${USER}@HPCMP.HPC.MIL fi #----------------------------------------------------------------------------- if [ "${Connection}" = "SSH" ] then ${ECHO} "\tssh to MJM:${FrontEndNumber} ${USER}" ssh -Y mjm-l${FrontEndNumber}.arl.hpc.mil else ${ECHO} "\tkrlogin to MJM:${FrontEndNumber} ${USER}" krlogin -x mjm-l${FrontEndNumber}.arl.hpc.mil fi #----------------------------------------------------------------------------- # kklist # List the Keys! } #============================================================================== ChangeKerberosPipe () { if [ "${KRB5CCNAME_2}" != "" ] then KRB5CCNAME="${KRB5CCNAME_2}" export KRB5CCNAME fi } #============================================================================== #============================================================================== # MUST save $* to variable before any Function calls! command_line_String="$*" script_name="`echo $0 | awk -F/ '{printf("%s",$NF)}'`" #----------------------------------------------------------------------------- ECHO="`setup_echo_command`" Relm="NEW" Connection="KRLOGIN" FrontEndNumber="6" #----------------------------------------------------------------------------- if [ "${command_line_String}" != "" ] then decode_command_line_String "${command_line_String}" fi MainLoop #----------------------------------------------------------------------------- exit 0 #----------------------------------------------------------------------------- #

57

Start_WRF # Script Purpose: Transfers data from carson and starts WRF run # Author: Robert C. Brown # Date: 01/29/2010 # Script Name: Start_WRF # Script Location: mjm scripts directory, jraby account # Calling Script: s # Scripts Called: run_wrf_jr_old # rm bb_job.out # rm bb_job.err cd ~/WRF3011/run scp jraby@carson:'WRF/WRF3011/run/[nw][ar][mf][ebi]*' . qsub<run_wrf_jr_old ls [nw][ar][mf][ebi]* # cd WRFOUT # ../setsubs.sh

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

58

run_wrf_jr_old #!/bin/csh #============================================================================== # BATCH_mjm_WRFrun_Template_PBS 9-Oct-2009 # R.Flanigan (575)678-2717 # Script Purpose: Starts WRF run and sets up the output directory # Author: R. Flanigan # Date: 01/29/2010 (this version) # Script Name: run_wrf_jr_old # Script Location: mjm WRF3011/run directory, jraby account # Calling Script: Start_WRF # Scripts Called: #============================================================================== # Name of the job #PBS -N WRF4_151_mjm # Pass all the environmental variables to the parallel jobs #PBS -V # Queue Type debug, standard, challenge or background #PBS -q standard #PBS -l select=2:ncpus=4:mpiprocs=4 #PBS -l place=free #PBS -l walltime=30:00:00 # Keep the standard out/error files #PBS -k oe # Don't restart job if it fails #PBS -r n # Project identifier #PBS -A ARLAP14877100 #=================================================================== echo ">>-->TIME: Batch Job Started at: `date`" #=================================================================== #mkdir -p /usr/var/tmp/${LOGNAME}/${LSB_JOBID} #cd /usr/var/tmp/$LOGNAME/$LSB_JOBID #=================================================================== set JOBID=`echo ${PBS_JOBID} | cut -f1 -d. ` set TMPD=/usr/var/tmp/${LOGNAME}/${JOBID} mkdir -p ${TMPD} chmod 777 ${TMPD} # cp /usr/people/jraby/WRF3011/run/*.TBL $TMPD cp /usr/people/jraby/WRF3011/run/*_DATA $TMPD cp /usr/people/jraby/WRF3011/run/*_DBL $TMPD cp /usr/people/jraby/WRF3011/run/grib* $TMPD cp /usr/people/jraby/WRF3011/run/*.tbl $TMPD # cp /usr/people/jraby/WRF3011/main/wrf.exe $TMPD cp /usr/people/jraby/WRF3011/run/namelist.input $TMPD cp /usr/people/jraby/WRF3011/run/wrfbdy_d01 $TMPD

kate.g.smith

Typewritten Text


59

cp /usr/people/jraby/WRF3011/run/wrfinput_d* $TMPD # date echo "one" cd $TMPD #---------------------------------------------------------------------- echo ">>-->TIME: WRF Run Started at: `date`" #---------------------------------------------------------------------- openmpirun.pbs ./wrf.exe echo "two" # set st=$status #===================================================================== echo ">>-->TIME: Batch Job Ended at: `date`" #====================================================================== # cp $TMPD/wrfout* /usr/people/jraby/WRF3011/run/. # exit ${st} #

60


61

Appendix C. Embedded Scripts: Convert PrepBUFR Data (Carson)

kate.g.smith

Typewritten Text


62

run_prepBUFR # Script Purpose: Automate the PrepBUFR to netcdf conversion # Author Brown/Raby # Date: 12/30/2010 (modified by J. Raby/Y. Raby to select location) # Script Name: run_prepBUFR # Script Location: ~jraby/Scripts # Start Directory: ~jraby/Scripts # --------------------------------------------- echo "Which location?" echo "Enter DUG or KSC" read location # Enter Dates ==================================================== # Enter Start date clear echo "Enter Start Date and Stop Date (YYYYmmdd) <space> (YYYYmmdd)" read Start_Date Stop_Date # Test for data Availability on Carson ========================== cd /opt3b/PrepBUFR if [ -d $Start_Date ] then echo " " echo "The PrepBUFR directory $Start_Date is on Carson" else echo " " echo "The PrepBUFR directory $Start_Date is NOT on Carson" fi if [ -d $Stop_Date ] then echo "The PrepBUFR directory $Stop_Date is on Carson" else echo "The PrepBUFR directory $Stop_Date is NOT on Carson" fi # Proceed to PREPBUFR File conversion? echo " " echo " " echo "[P]roceed to the PrepBUFR to NetCDF coversion or E[x]it?" read response2 case $response2 in (p|P) echo "Proceeding to the PrepBUFR to NetCDF coversion " # cd /opt3a/users/bbrown ;; (x|X) echo "Exiting PepBUFR to netCDF data format conversion"

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

63

exit 0 ;; (*) echo "Please enter a selection shown in [ ] p or x" ;; esac # end of case ------------------------------------------ cd ~/MET_obs/pbrun sed s/Start_Date/${Start_Date}/g<pb2nc_${location}d01_06_all.sh_template>pb2nc_${location}d01_06_all.sh_temp sed s/Stop_Date/${Stop_Date}/g<pb2nc_${location}d01_06_all.sh_temp>pb2nc_${location}d01_06_all.sh # Remove Temp Script rm pb2nc_${location}d01_06_all.sh_temp # Remove temp file sed s/Start_Date/${Start_Date}/g<pb2nc_${location}d02_06_all.sh_template>pb2nc_${location}d02_06_all.sh_temp sed s/Stop_Date/${Stop_Date}/g<pb2nc_${location}d02_06_all.sh_temp>pb2nc_${location}d02_06_all.sh # Remove Temp Script rm pb2nc_${location}d02_06_all.sh_temp # Remove temp file # Run pb2nc ===================================================== pb2nc_${location}d01_06_all.sh pb2nc_${location}d02_06_all.sh

64

pb2nc_DUGd01_06_all.sh_template #!/bin/sh # This is the original script from Sauter # Assigned a date of 082310 when incorporated into User’s Guide echo echo"***Running PB2NC on PrepBufr files***" echo "***Files for use with WRF initialized at 06Z on Start_Date***" mkdir ../ncobs/Start_Date echo "hour 0" pb2nc /PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_00_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 1" pb2nc /PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_01_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 2" pb2nc /PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_02_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 3" pb2nc /PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_03_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 4" pb2nc /PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_04_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 5" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_05_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 6" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_06_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 7" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_07_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 8" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_08_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 9" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_09_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 10" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_10_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 11" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_11_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 12" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_12_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 13" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_13_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2

kate.g.smith

Typewritten Text


65

echo "hour 14" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_14_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 15" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_15_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 16" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_16_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 17" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_17_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 18" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_18_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 19" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_19_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 20" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_20_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 21" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_21_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 22" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd01_06_22_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 23" pb2nc /PrepBUFR/Stop_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_23_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 24" pb2nc /PrepBUFR/Stop_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd01_06_24_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2

66

pb2nc_DUGd01_06_all.sh #!/bin/sh # This is the original script from Sauter # Assigned a date of 082310 when incorporated into User’s Guide echo echo"***Running PB2NC on PrepBufr files***" echo "***Files for use with WRF initialized at 06Z on 20100114***" mkdir ../ncobs/20100114 echo "hour 0" pb2nc /PrepBUFR/20100114/ndas.t12z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_00_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 1" pb2nc /PrepBUFR/20100114/ndas.t12z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_01_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 2" pb2nc /PrepBUFR/20100114/ndas.t12z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_02_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 3" pb2nc /PrepBUFR/20100114/ndas.t12z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_03_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 4" pb2nc /PrepBUFR/20100114/ndas.t12z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_04_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 5" pb2nc /PrepBUFR/20100114/ndas.t18z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_05_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 6" pb2nc /PrepBUFR/20100114/ndas.t18z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_06_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 7" pb2nc /PrepBUFR/20100114/ndas.t18z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_07_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 8" pb2nc /PrepBUFR/20100114/ndas.t18z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_08_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 9" pb2nc /PrepBUFR/20100114/ndas.t18z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_09_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 10" pb2nc /PrepBUFR/20100114/ndas.t18z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_10_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 11" pb2nc /PrepBUFR/20100115/ndas.t00z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_11_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 12" pb2nc /PrepBUFR/20100115/ndas.t00z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_12_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 13" pb2nc /PrepBUFR/20100115/ndas.t00z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_13_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2

kate.g.smith

Typewritten Text


67

echo "hour 14" pb2nc /PrepBUFR/20100115/ndas.t00z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_14_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 15" pb2nc /PrepBUFR/20100115/ndas.t00z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_15_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 16" pb2nc /PrepBUFR/20100115/ndas.t00z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_16_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 17" pb2nc /PrepBUFR/20100115/ndas.t06z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_17_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 18" pb2nc /PrepBUFR/20100115/ndas.t06z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_18_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 19" pb2nc /PrepBUFR/20100115/ndas.t06z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_19_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 20" pb2nc /PrepBUFR/20100115/ndas.t06z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_20_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 21" pb2nc /PrepBUFR/20100115/ndas.t06z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_21_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2 echo "hour 22" pb2nc /PrepBUFR/20100115/ndas.t06z.prepbufr.tm03.nr ../ncobs/20100114/DUGd01_06_22_pb.nc ./PB2NCConfig_DUGd01_hr3 -v 2 echo "hour 23" pb2nc /PrepBUFR/20100115/ndas.t12z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_23_pb.nc ./PB2NCConfig_DUGd01_hr1 -v 2 echo "hour 24" pb2nc /PrepBUFR/20100115/ndas.t12z.prepbufr.tm06.nr ../ncobs/20100114/DUGd01_06_24_pb.nc ./PB2NCConfig_DUGd01_hr2 -v 2

68

PB2NCConfig_DUGd01_hr1 //////////////////////////////////////////////////////////////////////////////// // // pb2nc configuration file for DUG domain 1, hour 1, 082410:~jraby/MET_obs/pbrun/PB2NCConfig_DUGd01_hr1 // //////////////////////////////////////////////////////////////////////////////// // // Stratify the observation data in the PrepBufr files in the following // ways: // (1) by message type: supply a list of PrepBufr message types // to retain (i.e. AIRCFT) // (2) by station id: supply a list of observation stations to retain // (3) by valid time: supply starting and ending times in form // YYYY-MM-DD HH:MM:SS UTC // (4) by location: supply either an NCEP masking grid, a masking // lat/lon polygon or a file to a mask lat/lon polygon // (5) by elevation: supply min/max elevation values // (6) by report type (typ): supply a list of report types to retain // (7) by instrument type (itp): supply a list of instrument type to // retain // (8) by vertical level: supply min/max vertical levels // (9) by variable type: supply a list of variable types to retain // P, Q, T, Z, U, V // (11) by quality mark: supply a quality mark threshold // (12) Flag to retain values for all quality marks, or just the first // quality mark (highest) // (13) by data level category: supply a list of category types to // retain. // // 0 - Surface level (mass reports only) // 1 - Mandatory level (upper-air profile reports) // 2 - Significant temperature level (upper-air profile reports) // 2 - Significant temperature and winds-by-pressure level // (future combined mass and wind upper-air reports) // 3 - Winds-by-pressure level (upper-air profile reports) // 4 - Winds-by-height level (upper-air profile reports) // 5 - Tropopause level (upper-air profile reports) // 6 - Reports on a single level // (e.g., aircraft, satellite-wind, surface wind, // precipitable water retrievals, etc.) // 7 - Auxiliary levels generated via interpolation from spanning levels // (upper-air profile reports) // // // Specify a comma-separated list of PrepBufr message type strings to retain. // An empty list indicates that all should be retained.

kate.g.smith

Typewritten Text


69

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = [ "ADPSFC", "ADPUPA", "ANYAIR" ]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = -4500; end_ds = -2700; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

70

// // The lat/lon polygon file should contain a name for the polygon followed // by a space-separated list of lat/lon points defining the polygon: // "name lat1 lon1 lat2 lon2... latn lonn" // // MET_BASE may be used in the path for the lat/lon polygon file. // // e.g. mask_poly = "EAST.poly"; // mask_poly = "DUGd01.poly"; // // Beginning and ending elevation values in meters for observations // to retain. // beg_elev = -1000; end_elev = 100000; // // Specify a comma-separated list of PrepBufr report type values to retain. // An empty list indicates that all should be retained. // // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_4.htm // // e.g. pb_report_type[] = [ 120, 133 ]; // pb_report_type[] = []; // // Specify a comma-separated list of input report type values to retain. // An empty list indicates that all should be retained. // // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_6.htm // // e.g. in_report_type[] = [ 11, 22, 23 ]; // in_report_type[] = []; // // Specify a comma-separated list of instrument type values to retain. // An empty list indicates that all should be retained. // // e.g. instrument_type[] = [ 52, 87 ]; // instrument_type[] = []; // // Beginning and ending vertical levels to retain. // beg_level = 1; end_level = 255;

71

// // Specify a comma-separated list of strings containing grib codes or // corresponding grib code abbreviations to retain or be derived from // the available observations. // // Grib Codes to be RETAINED: // SPFH or 51 for Specific Humidity in kg/kg // TMP or 11 for Temperature in K // HGT or 7 for Height in meters // UGRD or 33 for the East-West component of the wind in m/s // VGRD or 34 for the North-South component of the wind in m/s // // Grib Codes to be DERIVED: // DPT or 17 for Dewpoint Temperature in K // WIND or 32 for Wind Speed in m/s // RH or 52 for Relative Humidity in % // MIXR or 53 for Humidity Mixing Ratio in kg/kg // PRMSL or 2 for Pressure Reduced to Mean Sea Level in Pa // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html // // e.g. obs_grib_code[] = [ "TMP", "UGRD", "VGRD", "WIND" ]; // obs_grib_code[] = [ "TMP", "HGT", "UGRD", "VGRD", "DPT", "WIND", "RH", "PRMSL" ]; // // Quality mark threshold to indicate which observations to retain. // Observations with a quality mark equal to or LESS THAN this threshold // will be retained, while observations with a quality mark GREATER THAN // this threshold will be discarded. // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_7.htm // quality_mark_thresh = 2; // // Flag to indicate whether observations should be drawn from the top // of the event stack (most quality controlled) or the bottom of the // event stack (most raw). A value of 1 indicates that the top of the // event stack should be used while a value of zero indicates that the // bottom should be used. // event_stack_flag = 1; // // Space comma-separated list of data level categorie values to retain, // where a value of: // 0 = Surface level (mass reports only) // 1 = Mandatory level (upper-air profile reports) // 2 = Significant temperature level (upper-air profile reports) // 2 = Significant temperature and winds-by-pressure level // (future combined mass and wind upper-air reports)

72

// 3 = Winds-by-pressure level (upper-air profile reports) // 4 = Winds-by-height level (upper-air profile reports) // 5 = Tropopause level (upper-air profile reports) // 6 = Reports on a single level // (e.g., aircraft, satellite-wind, surface wind, // precipitable water retrievals, etc.) // 7 = Auxiliary levels generated via interpolation from spanning levels // (upper-air profile reports) // An empty list indicates that all should be retained. // // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. level_category[] = [ 0, 1 ]; // level_category[] = []; // // Directory where temp files should be written by the PB2NC tool // tmp_dir = "/tmp"; // // Indicate a version number for the contents of this configuration file. // The value should generally not be modified. // version = "V2.0";

73


kate.g.smith

Typewritten Text


74

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = [ "ADPSFC", "ADPUPA", "ANYAIR" ]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = -900; end_ds = 900; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

75


76


77


78


kate.g.smith

Typewritten Text


79

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = [ "ADPSFC", "ADPUPA", "ANYAIR" ]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = 2700; end_ds = 4500; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

80


81


82


83

pb2nc_DUGd02_06_all.sh_template #!/bin/sh # This is the original script from Sauter # Assigned a date of 082510 when incorporated into User’s Guide echo echo"***Running PB2NC on PrepBufr files***" echo "***Files for use with WRF initialized at 06Z on Start_Date***" mkdir ../ncobs/Start_Date echo "hour 0" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_00_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 1" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_01_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 2" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_02_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 3" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_03_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 4" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_04_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 5" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_05_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 6" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_06_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 7" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_07_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 8" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_08_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 9" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_09_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 10" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_10_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 11" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_11_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 12" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_12_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 13" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_13_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2

kate.g.smith

Typewritten Text


84

echo "hour 14" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_14_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 15" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_15_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 16" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_16_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 17" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_17_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 18" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_18_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 19" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_19_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 20" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_20_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 21" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_21_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 22" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/DUGd02_06_22_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 23" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_23_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 24" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/DUGd02_06_24_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2

85

pb2nc_DUGd02_06_all.sh #!/bin/sh # This is the original script from Sauter # Assigned a date of 082510 when incorporated into User’s Guide echo echo"***Running PB2NC on PrepBufr files***" echo "***Files for use with WRF initialized at 06Z on 20100114***" mkdir ../ncobs/20100114 echo "hour 0" pb2nc /opt3b/PrepBUFR/20100114/ndas.t12z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_00_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 1" pb2nc /opt3b/PrepBUFR/20100114/ndas.t12z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_01_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 2" pb2nc /opt3b/PrepBUFR/20100114/ndas.t12z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_02_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 3" pb2nc /opt3b/PrepBUFR/20100114/ndas.t12z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_03_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 4" pb2nc /opt3b/PrepBUFR/20100114/ndas.t12z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_04_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 5" pb2nc /opt3b/PrepBUFR/20100114/ndas.t18z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_05_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 6" pb2nc /opt3b/PrepBUFR/20100114/ndas.t18z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_06_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 7" pb2nc /opt3b/PrepBUFR/20100114/ndas.t18z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_07_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 8" pb2nc /opt3b/PrepBUFR/20100114/ndas.t18z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_08_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 9" pb2nc /opt3b/PrepBUFR/20100114/ndas.t18z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_09_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 10" pb2nc /opt3b/PrepBUFR/20100114/ndas.t18z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_10_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 11" pb2nc /opt3b/PrepBUFR/20100115/ndas.t00z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_11_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 12" pb2nc /opt3b/PrepBUFR/20100115/ndas.t00z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_12_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 13" pb2nc /opt3b/PrepBUFR/20100115/ndas.t00z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_13_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2

kate.g.smith

Typewritten Text


86

echo "hour 14" pb2nc /opt3b/PrepBUFR/20100115/ndas.t00z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_14_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 15" pb2nc /opt3b/PrepBUFR/20100115/ndas.t00z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_15_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 16" pb2nc /opt3b/PrepBUFR/20100115/ndas.t00z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_16_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 17" pb2nc /opt3b/PrepBUFR/20100115/ndas.t06z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_17_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 18" pb2nc /opt3b/PrepBUFR/20100115/ndas.t06z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_18_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 19" pb2nc /opt3b/PrepBUFR/20100115/ndas.t06z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_19_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 20" pb2nc /opt3b/PrepBUFR/20100115/ndas.t06z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_20_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 21" pb2nc /opt3b/PrepBUFR/20100115/ndas.t06z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_21_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2 echo "hour 22" pb2nc /opt3b/PrepBUFR/20100115/ndas.t06z.prepbufr.tm03.nr ../ncobs/20100114/DUGd02_06_22_pb.nc ./PB2NCConfig_DUGd02_hr3 -v 2 echo "hour 23" pb2nc /opt3b/PrepBUFR/20100115/ndas.t12z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_23_pb.nc ./PB2NCConfig_DUGd02_hr1 -v 2 echo "hour 24" pb2nc /opt3b/PrepBUFR/20100115/ndas.t12z.prepbufr.tm06.nr ../ncobs/20100114/DUGd02_06_24_pb.nc ./PB2NCConfig_DUGd02_hr2 -v 2

87


kate.g.smith

Typewritten Text


88

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = ["ADPSFC", "ADPUPA", "ANYAIR"]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = -4500; end_ds = -2700; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

89


90


91


92


kate.g.smith

Typewritten Text


93

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = ["ADPSFC", "ADPUPA", "ANYAIR"]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = -900; end_ds = 900; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

94


95


96


97


kate.g.smith

Typewritten Text


98

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = ["ADPSFC", "ADPUPA", "ANYAIR"]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = 2700; end_ds = 4500; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

99


100


101


102

pb2nc_KSCd01_06_all.sh_template #!/bin/sh # Script Purpose: Perform PrepBUFR to netcdf conversion for KSC data. # Script modified by John Raby # Date: 12/29/2010 # Script Name: pb2nc_KSCd01_06_all.sh_template. # Script Location: ~jraby/MET_obs/pbrun # Calling Script: run_prepBUFR # -------------------------------------------------------------- echo echo"***Running PB2NC on PrepBufr files***" echo "***Files for use with WRF initialized at 06Z on Start_Date***" mkdir ../ncobs/Start_Date echo "hour 0" pb2nc /PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_00_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 1" pb2nc /PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_01_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 2" pb2nc /PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_02_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 3" pb2nc /PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_03_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 4" pb2nc /PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_04_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 5" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_05_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 6" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_06_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 7" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_07_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 8" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_08_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 9" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_09_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 10" pb2nc /PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_10_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 11" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_11_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 12"

kate.g.smith

Typewritten Text


103

pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_12_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 13" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_13_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 14" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_14_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 15" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_15_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 16" pb2nc /PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_16_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 17" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_17_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 18" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_18_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 19" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_19_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 20" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_20_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 21" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_21_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 22" pb2nc /PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd01_06_22_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 23" pb2nc /PrepBUFR/Stop_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_23_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 24" pb2nc /PrepBUFR/Stop_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd01_06_24_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2

104

pb2nc_KSCd01_06_all.sh #!/bin/sh # Script Purpose: Perform PrepBUFR to netcdf conversion for KSC data. # Script modified by John Raby # Date: 12/29/2010 # Script Name: pb2nc_KSCd01_06_all.sh. # Script Location: ~jraby/MET_obs/pbrun # Calling Script: run_prepBUFR # -------------------------------------------------------------- echo echo"***Running PB2NC on PrepBufr files***" echo "***Files for use with WRF initialized at 06Z on 20101025***" mkdir ../ncobs/20101025 echo "hour 0" pb2nc /PrepBUFR/20101025/ndas.t12z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_00_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 1" pb2nc /PrepBUFR/20101025/ndas.t12z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_01_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 2" pb2nc /PrepBUFR/20101025/ndas.t12z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_02_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 3" pb2nc /PrepBUFR/20101025/ndas.t12z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_03_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 4" pb2nc /PrepBUFR/20101025/ndas.t12z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_04_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 5" pb2nc /PrepBUFR/20101025/ndas.t18z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_05_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 6" pb2nc /PrepBUFR/20101025/ndas.t18z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_06_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 7" pb2nc /PrepBUFR/20101025/ndas.t18z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_07_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 8" pb2nc /PrepBUFR/20101025/ndas.t18z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_08_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 9" pb2nc /PrepBUFR/20101025/ndas.t18z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_09_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 10" pb2nc /PrepBUFR/20101025/ndas.t18z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_10_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 11" pb2nc /PrepBUFR/20101026/ndas.t00z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_11_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 12"

kate.g.smith

Typewritten Text


105

pb2nc /PrepBUFR/20101026/ndas.t00z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_12_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 13" pb2nc /PrepBUFR/20101026/ndas.t00z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_13_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 14" pb2nc /PrepBUFR/20101026/ndas.t00z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_14_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 15" pb2nc /PrepBUFR/20101026/ndas.t00z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_15_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 16" pb2nc /PrepBUFR/20101026/ndas.t00z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_16_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 17" pb2nc /PrepBUFR/20101026/ndas.t06z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_17_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 18" pb2nc /PrepBUFR/20101026/ndas.t06z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_18_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 19" pb2nc /PrepBUFR/20101026/ndas.t06z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_19_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 20" pb2nc /PrepBUFR/20101026/ndas.t06z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_20_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 21" pb2nc /PrepBUFR/20101026/ndas.t06z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_21_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2 echo "hour 22" pb2nc /PrepBUFR/20101026/ndas.t06z.prepbufr.tm03.nr ../ncobs/20101025/KSCd01_06_22_pb.nc ./PB2NCConfig_KSCd01_hr3 -v 2 echo "hour 23" pb2nc /PrepBUFR/20101026/ndas.t12z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_23_pb.nc ./PB2NCConfig_KSCd01_hr1 -v 2 echo "hour 24" pb2nc /PrepBUFR/20101026/ndas.t12z.prepbufr.tm06.nr ../ncobs/20101025/KSCd01_06_24_pb.nc ./PB2NCConfig_KSCd01_hr2 -v 2

106

PB2NCConfig_KSCd01_hr1 //////////////////////////////////////////////////////////////////////////////// // // pb2nc configuration file for KSC domain 1, hour 1, 122910 :~jraby/MET_obs/pbrun/PB2NCConfig_KSCd01_hr1 // //////////////////////////////////////////////////////////////////////////////// // // Stratify the observation data in the PrepBufr files in the following // ways: // (1) by message type: supply a list of PrepBufr message types // to retain (i.e. AIRCFT) // (2) by station id: supply a list of observation stations to retain // (3) by valid time: supply starting and ending times in form // YYYY-MM-DD HH:MM:SS UTC // (4) by location: supply either an NCEP masking grid, a masking // lat/lon polygon or a file to a mask lat/lon polygon // (5) by elevation: supply min/max elevation values // (6) by report type (typ): supply a list of report types to retain // (7) by instrument type (itp): supply a list of instrument type to // retain // (8) by vertical level: supply min/max vertical levels // (9) by variable type: supply a list of variable types to retain // P, Q, T, Z, U, V // (11) by quality mark: supply a quality mark threshold // (12) Flag to retain values for all quality marks, or just the first // quality mark (highest) // (13) by data level category: supply a list of category types to // retain. // // 0 - Surface level (mass reports only) // 1 - Mandatory level (upper-air profile reports) // 2 - Significant temperature level (upper-air profile reports) // 2 - Significant temperature and winds-by-pressure level // (future combined mass and wind upper-air reports) // 3 - Winds-by-pressure level (upper-air profile reports) // 4 - Winds-by-height level (upper-air profile reports) // 5 - Tropopause level (upper-air profile reports) // 6 - Reports on a single level // (e.g., aircraft, satellite-wind, surface wind, // precipitable water retrievals, etc.) // 7 - Auxiliary levels generated via interpolation from spanning levels // (upper-air profile reports) // // // Specify a comma-separated list of PrepBufr message type strings to retain. // An empty list indicates that all should be retained.

kate.g.smith

Typewritten Text


107

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = [ "ADPSFC", "ADPUPA", "ANYAIR" ]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = -4500; end_ds = -2700; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

108

// // The lat/lon polygon file should contain a name for the polygon followed // by a space-separated list of lat/lon points defining the polygon: // "name lat1 lon1 lat2 lon2... latn lonn" // // MET_BASE may be used in the path for the lat/lon polygon file. // // e.g. mask_poly = "EAST.poly"; // mask_poly = "KSCd01.poly"; // // Beginning and ending elevation values in meters for observations // to retain. // beg_elev = -1000; end_elev = 100000; // // Specify a comma-separated list of PrepBufr report type values to retain. // An empty list indicates that all should be retained. // // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_4.htm // // e.g. pb_report_type[] = [ 120, 133 ]; // pb_report_type[] = []; // // Specify a comma-separated list of input report type values to retain. // An empty list indicates that all should be retained. // // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_6.htm // // e.g. in_report_type[] = [ 11, 22, 23 ]; // in_report_type[] = []; // // Specify a comma-separated list of instrument type values to retain. // An empty list indicates that all should be retained. // // e.g. instrument_type[] = [ 52, 87 ]; // instrument_type[] = []; // // Beginning and ending vertical levels to retain. // beg_level = 1; end_level = 255;

109


110


111

PB2NCConfig_KSCd01_hr2 //////////////////////////////////////////////////////////////////////////////// // // pb2nc configuration file for KSC domain 1, hour2, 122910:~jraby/MET_obs/pbrun/PB2NCConfig_KSCd01_hr2 // //////////////////////////////////////////////////////////////////////////////// // // Stratify the observation data in the PrepBufr files in the following // ways: // (1) by message type: supply a list of PrepBufr message types // to retain (i.e. AIRCFT) // (2) by station id: supply a list of observation stations to retain // (3) by valid time: supply starting and ending times in form // YYYY-MM-DD HH:MM:SS UTC // (4) by location: supply either an NCEP masking grid, a masking // lat/lon polygon or a file to a mask lat/lon polygon // (5) by elevation: supply min/max elevation values // (6) by report type (typ): supply a list of report types to retain // (7) by instrument type (itp): supply a list of instrument type to // retain // (8) by vertical level: supply min/max vertical levels // (9) by variable type: supply a list of variable types to retain // P, Q, T, Z, U, V // (11) by quality mark: supply a quality mark threshold // (12) Flag to retain values for all quality marks, or just the first // quality mark (highest) // (13) by data level category: supply a list of category types to // retain. // // 0 - Surface level (mass reports only) // 1 - Mandatory level (upper-air profile reports) // 2 - Significant temperature level (upper-air profile reports) // 2 - Significant temperature and winds-by-pressure level // (future combined mass and wind upper-air reports) // 3 - Winds-by-pressure level (upper-air profile reports) // 4 - Winds-by-height level (upper-air profile reports) // 5 - Tropopause level (upper-air profile reports) // 6 - Reports on a single level // (e.g., aircraft, satellite-wind, surface wind, // precipitable water retrievals, etc.) // 7 - Auxiliary levels generated via interpolation from spanning levels // (upper-air profile reports) // // // Specify a comma-separated list of PrepBufr message type strings to retain. // An empty list indicates that all should be retained.

kate.g.smith

Typewritten Text


112

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = [ "ADPSFC", "ADPUPA", "ANYAIR" ]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = -900; end_ds = 900; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

113


114


115


116

PB2NCConfig_KSCd01_hr3 //////////////////////////////////////////////////////////////////////////////// // // pb2nc configuration file for KSC domain 1, hour 3, 122910:~jraby/MET_obs/pbrun/PB2NCConfig_KSCd01_hr3 // //////////////////////////////////////////////////////////////////////////////// // // Stratify the observation data in the PrepBufr files in the following // ways: // (1) by message type: supply a list of PrepBufr message types // to retain (i.e. AIRCFT) // (2) by station id: supply a list of observation stations to retain // (3) by valid time: supply starting and ending times in form // YYYY-MM-DD HH:MM:SS UTC // (4) by location: supply either an NCEP masking grid, a masking // lat/lon polygon or a file to a mask lat/lon polygon // (5) by elevation: supply min/max elevation values // (6) by report type (typ): supply a list of report types to retain // (7) by instrument type (itp): supply a list of instrument type to // retain // (8) by vertical level: supply min/max vertical levels // (9) by variable type: supply a list of variable types to retain // P, Q, T, Z, U, V // (11) by quality mark: supply a quality mark threshold // (12) Flag to retain values for all quality marks, or just the first // quality mark (highest) // (13) by data level category: supply a list of category types to // retain. // // 0 - Surface level (mass reports only) // 1 - Mandatory level (upper-air profile reports) // 2 - Significant temperature level (upper-air profile reports) // 2 - Significant temperature and winds-by-pressure level // (future combined mass and wind upper-air reports) // 3 - Winds-by-pressure level (upper-air profile reports) // 4 - Winds-by-height level (upper-air profile reports) // 5 - Tropopause level (upper-air profile reports) // 6 - Reports on a single level // (e.g., aircraft, satellite-wind, surface wind, // precipitable water retrievals, etc.) // 7 - Auxiliary levels generated via interpolation from spanning levels // (upper-air profile reports) // // // Specify a comma-separated list of PrepBufr message type strings to retain. // An empty list indicates that all should be retained.

kate.g.smith

Typewritten Text


117

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = [ "ADPSFC", "ADPUPA", "ANYAIR" ]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = 2700; end_ds = 4500; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

118


119


120


121

pb2nc_KSCd02_06_all.sh_template #!/bin/sh # Script Purpose: Perform PrepBUFR to netcdf conversion for KSC data. # Script modified by John Raby # Date: 12/29/2010 # Script Name: pb2nc_KSCd02_06_all.sh_template. # Script Location: ~jraby/MET_obs/pbrun. # Calling Script: run_prepBUFR. # ------------------------------------------------------------ echo echo"***Running PB2NC on PrepBufr files***" echo "***Files for use with WRF initialized at 06Z on Start_Date***" mkdir ../ncobs/Start_Date echo "hour 0" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_00_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 1" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_01_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 2" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_02_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 3" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_03_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 4" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t12z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_04_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 5" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_05_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 6" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_06_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 7" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_07_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 8" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_08_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 9" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_09_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 10" pb2nc /opt3b/PrepBUFR/Start_Date/ndas.t18z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_10_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 11" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_11_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 12"

kate.g.smith

Typewritten Text


122

pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_12_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 13" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_13_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 14" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_14_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 15" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_15_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 16" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t00z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_16_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 17" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_17_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 18" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_18_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 19" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_19_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 20" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_20_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 21" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_21_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 22" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t06z.prepbufr.tm03.nr ../ncobs/Start_Date/KSCd02_06_22_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 23" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_23_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 24" pb2nc /opt3b/PrepBUFR/Stop_Date/ndas.t12z.prepbufr.tm06.nr ../ncobs/Start_Date/KSCd02_06_24_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2

123

pb2nc_KSCd02_06_all.sh #!/bin/sh # Script Purpose: Perform PrepBUFR to netcdf conversion for KSC data. # Script modified by John Raby # Date: 12/29/2010 # Script Name: pb2nc_KSCd02_06_all.sh. # Script Location: ~jraby/MET_obs/pbrun. # Calling Script: run_prepBUFR. # ------------------------------------------------------------ echo echo"***Running PB2NC on PrepBufr files***" echo "***Files for use with WRF initialized at 06Z on 20101025***" mkdir ../ncobs/20101025 echo "hour 0" pb2nc /opt3b/PrepBUFR/20101025/ndas.t12z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_00_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 1" pb2nc /opt3b/PrepBUFR/20101025/ndas.t12z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_01_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 2" pb2nc /opt3b/PrepBUFR/20101025/ndas.t12z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_02_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 3" pb2nc /opt3b/PrepBUFR/20101025/ndas.t12z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_03_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 4" pb2nc /opt3b/PrepBUFR/20101025/ndas.t12z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_04_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 5" pb2nc /opt3b/PrepBUFR/20101025/ndas.t18z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_05_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 6" pb2nc /opt3b/PrepBUFR/20101025/ndas.t18z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_06_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 7" pb2nc /opt3b/PrepBUFR/20101025/ndas.t18z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_07_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 8" pb2nc /opt3b/PrepBUFR/20101025/ndas.t18z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_08_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 9" pb2nc /opt3b/PrepBUFR/20101025/ndas.t18z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_09_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 10" pb2nc /opt3b/PrepBUFR/20101025/ndas.t18z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_10_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 11" pb2nc /opt3b/PrepBUFR/20101026/ndas.t00z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_11_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 12"

kate.g.smith

Typewritten Text


124

pb2nc /opt3b/PrepBUFR/20101026/ndas.t00z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_12_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 13" pb2nc /opt3b/PrepBUFR/20101026/ndas.t00z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_13_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 14" pb2nc /opt3b/PrepBUFR/20101026/ndas.t00z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_14_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 15" pb2nc /opt3b/PrepBUFR/20101026/ndas.t00z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_15_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 16" pb2nc /opt3b/PrepBUFR/20101026/ndas.t00z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_16_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 17" pb2nc /opt3b/PrepBUFR/20101026/ndas.t06z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_17_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 18" pb2nc /opt3b/PrepBUFR/20101026/ndas.t06z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_18_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 19" pb2nc /opt3b/PrepBUFR/20101026/ndas.t06z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_19_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 20" pb2nc /opt3b/PrepBUFR/20101026/ndas.t06z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_20_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 21" pb2nc /opt3b/PrepBUFR/20101026/ndas.t06z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_21_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2 echo "hour 22" pb2nc /opt3b/PrepBUFR/20101026/ndas.t06z.prepbufr.tm03.nr ../ncobs/20101025/KSCd02_06_22_pb.nc ./PB2NCConfig_KSCd02_hr3 -v 2 echo "hour 23" pb2nc /opt3b/PrepBUFR/20101026/ndas.t12z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_23_pb.nc ./PB2NCConfig_KSCd02_hr1 -v 2 echo "hour 24" pb2nc /opt3b/PrepBUFR/20101026/ndas.t12z.prepbufr.tm06.nr ../ncobs/20101025/KSCd02_06_24_pb.nc ./PB2NCConfig_KSCd02_hr2 -v 2

125

PB2NCConfig_KSCd02_hr1 //////////////////////////////////////////////////////////////////////////////// // // pb2nc configuration file for KSC, domain 2, hour 1, 122910:~jraby/MET_obs/pbrun/PB2NCConfig_KSCd02_hr1 // //////////////////////////////////////////////////////////////////////////////// // // Stratify the observation data in the PrepBufr files in the following // ways: // (1) by message type: supply a list of PrepBufr message types // to retain (i.e. AIRCFT) // (2) by station id: supply a list of observation stations to retain // (3) by valid time: supply starting and ending times in form // YYYY-MM-DD HH:MM:SS UTC // (4) by location: supply either an NCEP masking grid, a masking // lat/lon polygon or a file to a mask lat/lon polygon // (5) by elevation: supply min/max elevation values // (6) by report type (typ): supply a list of report types to retain // (7) by instrument type (itp): supply a list of instrument type to // retain // (8) by vertical level: supply min/max vertical levels // (9) by variable type: supply a list of variable types to retain // P, Q, T, Z, U, V // (11) by quality mark: supply a quality mark threshold // (12) Flag to retain values for all quality marks, or just the first // quality mark (highest) // (13) by data level category: supply a list of category types to // retain. // // 0 - Surface level (mass reports only) // 1 - Mandatory level (upper-air profile reports) // 2 - Significant temperature level (upper-air profile reports) // 2 - Significant temperature and winds-by-pressure level // (future combined mass and wind upper-air reports) // 3 - Winds-by-pressure level (upper-air profile reports) // 4 - Winds-by-height level (upper-air profile reports) // 5 - Tropopause level (upper-air profile reports) // 6 - Reports on a single level // (e.g., aircraft, satellite-wind, surface wind, // precipitable water retrievals, etc.) // 7 - Auxiliary levels generated via interpolation from spanning levels // (upper-air profile reports) // // // Specify a comma-separated list of PrepBufr message type strings to retain. // An empty list indicates that all should be retained.

kate.g.smith

Typewritten Text


126

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = ["ADPSFC", "ADPUPA", "ANYAIR"]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = -4500; end_ds = -2700; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

127


128


129


130

PB2NCConfig_KSCd02_hr2 //////////////////////////////////////////////////////////////////////////////// // // pb2nc configuration file for KSC domain 2, hour 2, 122910:~jraby/MET_obs/pbrun/PB2NCConfig_KSCd02_hr2 // //////////////////////////////////////////////////////////////////////////////// // // Stratify the observation data in the PrepBufr files in the following // ways: // (1) by message type: supply a list of PrepBufr message types // to retain (i.e. AIRCFT) // (2) by station id: supply a list of observation stations to retain // (3) by valid time: supply starting and ending times in form // YYYY-MM-DD HH:MM:SS UTC // (4) by location: supply either an NCEP masking grid, a masking // lat/lon polygon or a file to a mask lat/lon polygon // (5) by elevation: supply min/max elevation values // (6) by report type (typ): supply a list of report types to retain // (7) by instrument type (itp): supply a list of instrument type to // retain // (8) by vertical level: supply min/max vertical levels // (9) by variable type: supply a list of variable types to retain // P, Q, T, Z, U, V // (11) by quality mark: supply a quality mark threshold // (12) Flag to retain values for all quality marks, or just the first // quality mark (highest) // (13) by data level category: supply a list of category types to // retain. // // 0 - Surface level (mass reports only) // 1 - Mandatory level (upper-air profile reports) // 2 - Significant temperature level (upper-air profile reports) // 2 - Significant temperature and winds-by-pressure level // (future combined mass and wind upper-air reports) // 3 - Winds-by-pressure level (upper-air profile reports) // 4 - Winds-by-height level (upper-air profile reports) // 5 - Tropopause level (upper-air profile reports) // 6 - Reports on a single level // (e.g., aircraft, satellite-wind, surface wind, // precipitable water retrievals, etc.) // 7 - Auxiliary levels generated via interpolation from spanning levels // (upper-air profile reports) // // // Specify a comma-separated list of PrepBufr message type strings to retain. // An empty list indicates that all should be retained.

kate.g.smith

Typewritten Text


131

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = ["ADPSFC", "ADPUPA", "ANYAIR"]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = -900; end_ds = 900; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

132


133


134


135

PB2NCConfig_KSCd02_hr3 //////////////////////////////////////////////////////////////////////////////// // // pb2nc configuration file for KSC,domain 2, hour 3, 122910:~jraby/MET_obs/pbrun/PB2NCConfig_KSCd02_hr3 // //////////////////////////////////////////////////////////////////////////////// // // Stratify the observation data in the PrepBufr files in the following // ways: // (1) by message type: supply a list of PrepBufr message types // to retain (i.e. AIRCFT) // (2) by station id: supply a list of observation stations to retain // (3) by valid time: supply starting and ending times in form // YYYY-MM-DD HH:MM:SS UTC // (4) by location: supply either an NCEP masking grid, a masking // lat/lon polygon or a file to a mask lat/lon polygon // (5) by elevation: supply min/max elevation values // (6) by report type (typ): supply a list of report types to retain // (7) by instrument type (itp): supply a list of instrument type to // retain // (8) by vertical level: supply min/max vertical levels // (9) by variable type: supply a list of variable types to retain // P, Q, T, Z, U, V // (11) by quality mark: supply a quality mark threshold // (12) Flag to retain values for all quality marks, or just the first // quality mark (highest) // (13) by data level category: supply a list of category types to // retain. // // 0 - Surface level (mass reports only) // 1 - Mandatory level (upper-air profile reports) // 2 - Significant temperature level (upper-air profile reports) // 2 - Significant temperature and winds-by-pressure level // (future combined mass and wind upper-air reports) // 3 - Winds-by-pressure level (upper-air profile reports) // 4 - Winds-by-height level (upper-air profile reports) // 5 - Tropopause level (upper-air profile reports) // 6 - Reports on a single level // (e.g., aircraft, satellite-wind, surface wind, // precipitable water retrievals, etc.) // 7 - Auxiliary levels generated via interpolation from spanning levels // (upper-air profile reports) // // // Specify a comma-separated list of PrepBufr message type strings to retain. // An empty list indicates that all should be retained.

kate.g.smith

Typewritten Text


136

// List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = ["ADPSFC", "ADPUPA", "ANYAIR"]; // // Specify a comma-separated list of station ID strings to retain. // An empty list indicates that all should be retained. // // e.g. station_id[] = [ "KDEN" ]; // station_id[] = []; // // Beginning and ending time offset values in seconds for observations // to retain. The valid time window for retaining observations is // defined in reference to the observation time. So observations with // a valid time falling in the window [obs_time+beg_ds, obs_time+end_ds] // will be retained. // beg_ds = 2700; end_ds = 4500; // // Specify the name of a single grid to be used in masking the data. // An empty string indicates that no grid should be used. The standard // NCEP grids are named "GNNN" where NNN indicates the three digit grid number. // // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid = "G212"; // mask_grid = ""; // // Specify a single lat/lon polygon file to be used in masking the data over // which to perform scoring. An empty string indicates that no polygon mask // should be used. // // Latitude values are given in degrees north and longitude values are // given in degrees east. By default, the first and last points are // connected.

137


138


139


140

INTENTIONALLY LEFT BLANK

141

Appendix D. Embedded Scripts: Download and Reformat MADIS Data (Carson)

kate.g.smith

Typewritten Text


142

run_MADIS #Script purpose: Download MADIS Data for CONUS # Author: Brown/J.Raby/Y.Raby # Date: 6/29/2010 # Script Filename: run_MADIS # Script Location: ~jraby/Scripts # Script Directory: ~jraby/Scripts # ============================================================= # Enter Dates ==================================================== clear echo "Enter Start Date and Stop Date (YYYYmmdd) <space> (YYYYmmdd)" read Start_Date Stop_Date echo " " echo " " echo "You Entered Start_Date: $Start_Date and Stop_Date: $Stop_Date" echo " " echo " " echo "Is that correct? (y/n)" read response case $response in # Start of case (y|Y) echo "Logging on to MADIS ---" ;; (n|N) exit 0 ;; esac # end of case # cd /MADISdata /usr/bin/ftp -n -v rftp.madis-data.noaa.gov << EOT user armyrl4_madis_research pEMAT7re prompt bin lcd /MADISdata/LDAD/mesonet/netCDF cd public/LDAD/mesonet/netCDF mget $Start_Date* mget $Stop_Date* quit EOT echo "Download complete......unzipping files" cd /MADISdata/LDAD/mesonet/netCDF gunzip -f *.gz

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

143

echo "Unzip complete...running MADIS_crop" cd ~/MET_obs/ncobs sed s/Start_Date/${Start_Date}/g<~/Scripts/MADIS_crop_Template>MADIS_crop_temp sed s/Stop_Date/${Stop_Date}/g<MADIS_crop_temp>~/Scripts/MADIS_crop rm MADIS_crop_temp MADIS_crop

144

run_MADIS_Archive # Script purpose: Download MADIS Data for CONUS Archived Data # Author: Brown/J.Raby/Y.Raby # Date: 6/29/2010 # Script Filename: run_MADIS_Archive # Script Location:~jraby/Scripts # Start Directory:~jraby/Scripts # ============================================================= # Enter Dates ==================================================== clear echo "Enter Start Date and Stop Date (YYYYmmdd) <space> (YYYYmmdd)" read Start_Date Stop_Date yr=èxpr substr $Start_Date 1 4` b_mm=èxpr substr $Start_Date 5 2` e_mm=èxpr substr $Stop_Date 5 2` b_dd=èxpr substr $Start_Date 7 2` e_dd=èxpr substr $Stop_Date 7 2` /usr/bin/ftp -n -v rftp.madis-data.noaa.gov << EOT user armyrl4_madis_research pEMAT7re prompt bin lcd /MADISdata/LDAD/mesonet/netCDF cd research/archive/$yr/$b_mm/$b_dd/LDAD/mesonet/netCDF mget $Start_Date* mget $Stop_Date* cd ../../../../../../$yr/$e_mm/$e_dd/LDAD/mesonet/netCDF mget $Start_Date* mget $Stop_Date* quit EOT

kate.g.smith

Typewritten Text


145

echo "Download complete.....unzipping mesonet files" cd /MADISdata/LDAD/mesonet/netCDF gunzip -f *.gz echo "unzip complete....running MADIS_crop" cd ~/MET_obs/ncobs sed s/Start_Date/${Start_Date}/g<~/Scripts/MADIS_crop_Template>MADIS_crop_temp sed s/Stop_Date/${Stop_Date}/g<MADIS_crop_temp>~/Scripts/MADIS_crop rm MADIS_crop_temp MADIS_crop

146

MADIS_crop_Template # #============================================================================== # Script to run runMADIStoMET that uses MADIS prog "sfcdump.exe" to Crop Data # "sfcdump.exe" uses PARameter file "sfcdump.par" # MADIS input Data is in the /MADISdata tree # Modified by J. Raby, 12/15/10 to set the location to the Cape Canaveral,FL domains. #============================================================================= time runMADIStoMET st:Start_Date_0600 et:Stop_Date_0600 d1 Location:CapeC_1 Dir:Start_Date_d1 #----------------------------------------------------------------------------- time runMADIStoMET st:Start_Date_0600 et:Stop_Date_0600 d2 Location:CapeC_1 Dir:Start_Date_d2

kate.g.smith

Typewritten Text


147

MADIS_crop # #============================================================================== # Script to run runMADIStoMET that uses MADIS prog "sfcdump.exe" to Crop Data # "sfcdump.exe" uses PARameter file "sfcdump.par" # MADIS input Data is in the /MADISdata tree # Modified by J. Raby, 12/15/10 to set the location to the Cape Canaveral,FL domains. #============================================================================= time runMADIStoMET st:20101025_0600 et:20101026_0600 d1 Location:CapeC_1 Dir:20101025_d1 #----------------------------------------------------------------------------- time runMADIStoMET st:20101025_0600 et:20101026_0600 d2 Location:CapeC_1 Dir:20101025_d2

kate.g.smith

Typewritten Text


148

MADIS_crop_DUG_Template # #============================================================================== # Script to run runMADIStoMET that uses MADIS prog "sfcdump.exe" to Crop Data # "sfcdump.exe" uses PARameter file "sfcdump.par" # MADIS input Data is in the /MADISdata tree #============================================================================= time runMADIStoMET st:Start_Date_0600 et:Stop_Date_0600 d1 Dugway_1 Dir:Start_Date_d1 #----------------------------------------------------------------------------- time runMADIStoMET st:Start_Date_0600 et:Stop_Date_0600 d2 Dugway_1 Dir:Start_Date_d2

kate.g.smith

Typewritten Text


149

MADIS_crop_DUG # #============================================================================== # Script to run runMADIStoMET that uses MADIS prog "sfcdump.exe" to Crop Data # "sfcdump.exe" uses PARameter file "sfcdump.par" # MADIS input Data is in the /MADISdata tree #============================================================================= time runMADIStoMET st:20100329_0600 et:20100330_0600 d1 Dugway_1 Dir:20100329_d1 #----------------------------------------------------------------------------- time runMADIStoMET st:20100329_0600 et:20100330_0600 d2 Dugway_1 Dir:20100329_d2

kate.g.smith

Typewritten Text


150

sfcdump_CapeC_1_d1_Template --------------------------------------------------------------------------------- Database FIXED LENGTH SECTION -------- FSL 'FSL' or 'AWIPS' --------------------------------------------------------------------------------- Time Window (use 0,0,0 for default) FIXED LENGTH SECTION ----------- -20 Number of minutes relative to nominal time at which to start window 20 Number of minutes relative to nominal time at which to end window 1 0 - return all records within the file containing nominal time 1 - return one record per fixed station, closest to nominal time 2 - return one record per fixed station, closest to start of window 3 - return one record per fixed station, closest to end of window 4 - return all records within *window* --------------------------------------------------------------------------------- Providers (see doc/sfc_providers.txt) VARIABLE LENGTH SECTION --------- 0 0 - all providers N - list of N provider names follow this line --------------------------------------------------------------------------------- Domain Filter FIXED LENGTH SECTION ------------- 1 0 - don't filter 1 - return stations within latitude/longitude corners 2 - return stations within specified Polar Stereographic grid 3 - return stations within specified Lambert Conformal Conic grid Latitude/Longitude Corners (lines skipped if not Domain Filter 1) -------------------------- CapeC_1_d1 26.000 SW corner latitude (north) -83.200 SW corner longitude (east) 30.800 NE corner latitude (north) -78.000 NE corner longitude (east)

kate.g.smith

Typewritten Text


151

Polar Stereo Specification (lines skipped if not Domain Filter 2) -------------------------- 190500.0 Grid box size (meters) 7.838 Latitude (north) of 1st grid point (lower left = SW) -141.028 Longitude (east) of 1st grid point (lower left = SW) -95.0 Orientation longitude (east) 33.0 I-coordinate of pole 45.0 J-coordinate of pole 60.0 Lat (north) at which X-Y scale is true 65 Number of grid points in X-direction (I dimension) 43 Number of grid points in Y-direction (J dimension) Lambert Conformal Conic Specification (lines skipped if not Domain Filter 3) ------------------------------------- 40635.25 Grid box size (meters) 12.19 Latitude (north) of 1st grid point (lower left = SW) -133.459 Longitude (east) of 1st grid point (lower left = SW) -95.0 Orientation longitude (east) 25.0 Latitude (north) of first Lambert Conformal tangent 25.0 Latitude (north) of second Lambert Conformal tangent 185 Number of grid points in X-direction (I dimension) 129 Number of grid points in Y-direction (J dimension) --------------------------------------------------------------------------------- QC Filter FIXED LENGTH SECTION --------- 1 0 - none 1 - coarse 2 - screened 3 - verified 99 - highest possible --------------------------------------------------------------------------------- Time Selection FIXED LENGTH SECTION -------------- 1 0 - Julian format (YYJJJHHMM) 1 - Month/Day format (YYYYMMDD_HHMM) 0 0 - Use the nominal time line below 1 - Use the current time as the nominal time 99999999_9999 Nominal time (in selected format) --------------------------------------------------------------------------------- Station Selection FIXED LENGTH SECTION ----------------- 0 0 - Get all stations 1 - Get only the station whose name is on the next line CLFU1 Single station name ---------------------------------------------------------------------------------

152

Output Options FIXED LENGTH SECTION -------------- 0 0 - Lat/lon with 2 digits after decimal place 1 - Lat with 5 digits after decimal place, lon with 4 digits 0 0 - Text output with headers (original format) 1 - XML output format 2 - Comma-separated-variable (CSV) text output without QC info 3 - CSV text output with QC data descriptors 4 - CSV text output with full QC information 0 0 - When using CSV, use -99999.000000 for missing fields 1 - When using CSV, use blanks for missing fields (Excel-friendly) --------------------------------------------------------------------------------- Variables (1 per line, until end of file) VARIABLE LENGTH SECTION --------- (see doc/sfc_variable_list.txt) ALTSE ELEV T TD FF U V RH P DD

153

sfcdump_CapeC_1_d2_Template --------------------------------------------------------------------------------- Database FIXED LENGTH SECTION -------- FSL 'FSL' or 'AWIPS' --------------------------------------------------------------------------------- Time Window (use 0,0,0 for default) FIXED LENGTH SECTION ----------- -20 Number of minutes relative to nominal time at which to start window 20 Number of minutes relative to nominal time at which to end window 1 0 - return all records within the file containing nominal time 1 - return one record per fixed station, closest to nominal time 2 - return one record per fixed station, closest to start of window 3 - return one record per fixed station, closest to end of window 4 - return all records within *window* --------------------------------------------------------------------------------- Providers (see doc/sfc_providers.txt) VARIABLE LENGTH SECTION --------- 0 0 - all providers N - list of N provider names follow this line --------------------------------------------------------------------------------- Domain Filter FIXED LENGTH SECTION ------------- 1 0 - don't filter 1 - return stations within latitude/longitude corners 2 - return stations within specified Polar Stereographic grid 3 - return stations within specified Lambert Conformal Conic grid Latitude/Longitude Corners (lines skipped if not Domain Filter 1) -------------------------- CapeC_1_d2 28.010 SW corner latitude (north) -81.020 SW corner longitude (east) 28.910 NE corner latitude (north) -80.000 NE corner longitude (east)

kate.g.smith

Typewritten Text


154


155


156

sfcdump_Dugway_1_d1_Template --------------------------------------------------------------------------------- Database FIXED LENGTH SECTION -------- FSL 'FSL' or 'AWIPS' --------------------------------------------------------------------------------- Time Window (use 0,0,0 for default) FIXED LENGTH SECTION ----------- -20 Number of minutes relative to nominal time at which to start window 20 Number of minutes relative to nominal time at which to end window 1 0 - return all records within the file containing nominal time 1 - return one record per fixed station, closest to nominal time 2 - return one record per fixed station, closest to start of window 3 - return one record per fixed station, closest to end of window 4 - return all records within *window* --------------------------------------------------------------------------------- Providers (see doc/sfc_providers.txt) VARIABLE LENGTH SECTION --------- 0 0 - all providers N - list of N provider names follow this line --------------------------------------------------------------------------------- Domain Filter FIXED LENGTH SECTION ------------- 1 0 - don't filter 1 - return stations within latitude/longitude corners 2 - return stations within specified Polar Stereographic grid 3 - return stations within specified Lambert Conformal Conic grid Latitude/Longitude Corners (lines skipped if not Domain Filter 1) -------------------------- Dugway_1_d1 37.651 SW corner latitude (north) -116.754 SW corner longitude (east) 42.531 NE corner latitude (north) -110.360 NE corner longitude (east)

kate.g.smith

Typewritten Text


157


158


159

sfcdump_Dugway_1_d2_Template --------------------------------------------------------------------------------- Database FIXED LENGTH SECTION -------- FSL 'FSL' or 'AWIPS' --------------------------------------------------------------------------------- Time Window (use 0,0,0 for default) FIXED LENGTH SECTION ----------- -20 Number of minutes relative to nominal time at which to start window 20 Number of minutes relative to nominal time at which to end window 1 0 - return all records within the file containing nominal time 1 - return one record per fixed station, closest to nominal time 2 - return one record per fixed station, closest to start of window 3 - return one record per fixed station, closest to end of window 4 - return all records within *window* --------------------------------------------------------------------------------- Providers (see doc/sfc_providers.txt) VARIABLE LENGTH SECTION --------- 0 0 - all providers N - list of N provider names follow this line --------------------------------------------------------------------------------- Domain Filter FIXED LENGTH SECTION ------------- 1 0 - don't filter 1 - return stations within latitude/longitude corners 2 - return stations within specified Polar Stereographic grid 3 - return stations within specified Lambert Conformal Conic grid Latitude/Longitude Corners (lines skipped if not Domain Filter 1) -------------------------- Dugway_1_d2 39.679 SW corner latitude (north) -114.032 SW corner longitude (east) 40.588 NE corner latitude (north) -112.844 NE corner longitude (east)

kate.g.smith

Typewritten Text


160


161


162

runMADIStoMET #============================================================================== author () { ${ECHO} "# 12-May-2008\t\t~rflaniga/Scripts/${script_name}" ${ECHO} "# R.Flanigan\t\t(505)678-2717\[email protected]" } #============================================================================== options () { ${ECHO} "# NONE:" author ${ECHO} "#---------------------------------------------------------------------" ${ECHO} "# FORMAT: ${script_name} StartTime:xx EndTime:yy Location:Dugway_1 Domain:1" ${ECHO} "# FORMAT: ${script_name} ST:20090326_0600 ET:20090327_0600 Dugway_1 d2" ${ECHO} "#---------------------------------------------------------------------" ${ECHO} "# Script to Run the Format MASIS Data Script for 25 hr of Data" ${ECHO} "#---------------------------------------------------------------------" } #============================================================================== # cp sfcdump.par_DUGd02_hr0 sfcdump.par # sfcdump.exe # cp sfcdump.txt ./20090401/sfcdump_hr0 # formatMADISdataMET ./20090401/hr0_06Z.txt # ... # cp sfcdump.par_DUGd02_hr24 sfcdump.par # sfcdump.exe # cp sfcdump.txt ./20090401/sfcdump_hr24 # formatMADISdataMET ./20090401/hr24_06Z.txt #------------------------------------------------------------------------------ # ERROR: "MSFCSTA: NO DATA FOR" #============================================================================== decode_command_line_String () { for param in $1 do # ${ECHO} "PARAM=${param}" case ${param} in LOCATION:*|Location:*|L:*|location:*|l:*) Location="`echo "${param}" | cut -d ":" -f 2 - `" ;; DUGWAY_1|DugWay_1|Dugway_1|dugway_1) Location="Dugway_1" ;;

kate.g.smith

Typewritten Text


163

DIR:*|Dir:*|D:*|dir:*|d:*) OutDirName="ècho "${param}" | cut -d ":" -f 2 - `" SetupOutDir ;; STARTTIME:*|StartTime:*|ST:*|starttime:*|st:*) StartTime="ècho "${param}" | cut -d ":" -f 2 - `" SetupStartTime ;; ENDTIME:*|EndTime:*|ET:*|endtime:*|et:*) EndTime="ècho "${param}" | cut -d ":" -f 2 - `" SetupEndTime ;; DOMAIN:*|Domain:*|domain:*) TDN="ècho "${param}" | cut -d ":" -f 2 - `" DomainNum="èxpr ${TDN} + 0 `" if [ "${DomainNum}" -lt "1" ] then ${ECHO} "\tERROR: Domain # < 1 \"${DomainNum}\"" DomainNum="" elif [ "${DomainNum}" -gt "10" ] then ${ECHO} "\tWARNING: Domain # > 10 \"${DomainNum}\"" fi ;; OUTPUTDIR:*|OutputDir:*|OD:*|outputdir:*|od:*) OutputDir="ècho "${param}" | cut -d ":" -f 2 - `" ;; D01|D1|d01|d1) DomainNum="1" ;; D02|D2|d02|d2) DomainNum="2" ;; D03|D3|d03|d3) DomainNum="3" ;; *) ${ECHO} "\tWARNING: Invalid Parameter \"${param}\"" ;; esac done } #============================================================================== SetupOutDir () { if [ ! -d "${OutDirName}" ] then mkdir -p "${OutDirName}" fi chmod 775 "${OutDirName}" OutDirName="${OutDirName}/" ${ECHO} "\t${script_name}: SetupOutDir \"${OutDirName}\""

164

} #============================================================================== SetupStartTime () { ST_Year="${StartTime:0:4}" ST_Month="${StartTime:4:2}" ST_Day="${StartTime:6:2}" ST_Hour="${StartTime:9:2}" CT_Year="${ST_Year}" CT_Month="${ST_Month}" CT_Day="${ST_Day}" CT_Hour="${ST_Hour}" CurrentTime="${CT_Year}${CT_Month}${CT_Day}_${CT_Hour}00" ${ECHO} "\t${script_name}: SetupStartTime \"${CurrentTime}\"" } #============================================================================== SetupEndTime () { ET_Year="${EndTime:0:4}" ET_Month="${EndTime:4:2}" ET_Day="${EndTime:6:2}" ET_Hour="${StartTime:9:2}" EndTime="${ET_Year}${ET_Month}${ET_Day}_${ET_Hour}00" ${ECHO} "\t${script_name}: SetupEndTime \"${EndTime}\"" } #============================================================================== MainLoop () { ${ECHO} "\t${script_name}: MainLoop" date > ${LogFileName} #------------------------------------------------------------------------------ while [ ${CurrentTime} != "${EndTime}" ] do ${ECHO} "\t${script_name}: MainLoop Time:\"${CurrentTime}\" Domain:\"d${DomainNum}\"" rm -rf sfcdump.txt # Cleanout Old File MakeParamFile ${CurrentTime} MakeOutputFileNames sfcdump.exe >> ${LogFileName} chmod 664 sfcdump.txt cp sfcdump.txt ${OutDirName}${RawFileName} ${FormatMADIS_Program} ${OutDirName}${OutputFileName} IncCurrentTime done #------------------------------------------------------------------------------ ${ECHO} "\t${script_name}: MainLoop Time:\"${CurrentTime}\" Domain:\"d${DomainNum}\"" MakeParamFile ${CurrentTime} MakeOutputFileNames

165

sfcdump.exe >> ${LogFileName} chmod 664 sfcdump.txt cp sfcdump.txt ${OutDirName}${RawFileName} ${FormatMADIS_Program} ${OutDirName}${OutputFileName} #------------------------------------------------------------------------------ date >> ${LogFileName} chmod 664 ${LogFileName} if [ -d "${OutDirName}" ] then cp sfcdump.par ${OutDirName} cp ${LogFileName} ${OutDirName} chmod 664 ${OutDirName}* ls ${OutDirName}* fi #------------------------------------------------------------------------------ CheckForErrorInRun ${LogFileName} } #============================================================================== MakeParamFile () { LocalTime="$1" TemplateFileName="sfcdump_${Location}_d${DomainNum}_Template" if [ -s "${TemplateFileName}" ] && [ -r "${TemplateFileName}" ] then ${ECHO} "s=99999999_9999=${LocalTime}=" > sedcmd sed -f sedcmd ${TemplateFileName} > sfcdump.par rm sedcmd chmod 664 sfcdump.par else ${ECHO} "\tERROR: Can Not Open Template File \"${TemplateFileName}\"" exit 5 fi } #============================================================================== IncCurrentTime () { Model_Hour="`expr ${Model_Hour} + 1`" CT_Hour="`expr ${CT_Hour} + 1`" if [ "${CT_Hour}" -lt "10" ] then CT_Hour="0${CT_Hour}" fi if [ "${CT_Hour}" -gt "23" ] then CT_Hour="00" CT_Year="${ET_Year}" CT_Month="${ET_Month}"

166

CT_Day="${ET_Day}" fi CurrentTime="${CT_Year}${CT_Month}${CT_Day}_${CT_Hour}00" } #============================================================================== MakeOutputFileNames () { RawFileName="sfcdump_hr${Model_Hour}" OutputFileName="hr${Model_Hour}_${CT_Hour}Z.txt" } #============================================================================== CheckForErrorInRun () { LocalLogFile="$1" ERRORS="`grep 'MSFCSTA: NO DATA FOR' ${LocalLogFile}`" if [ "${ERRORS}" != "" ] then ${ECHO} "\nERRORS Found in Run!\n${ERRORS}\n" fi } #============================================================================== #============================================================================== # MUST save $* to variable before any Function calls! command_line_String="$*" script_name="`echo $0 | awk -F/ '{printf("%s",$NF)}'`" #------------------------------------------------------------------------------ ECHO="`setup_echo_command`" # ${ECHO} "STRING=${command_line_options}" #------------------------------------------------------------------------------ FormatMADIS_Program="formatMADISdataMET" Location="" DomainNum="" OutputDir="" # ----------------------------------------------------------------------- StartTime="" ST_Year="" ST_Month="" ST_Day="" ST_Hour="" EndTime="" ET_Year="" ET_Month="" ET_Day="" ET_Hour="" CurrentTime="" CT_Year=""

167

CT_Month="" CT_Day="" CT_Hour="" Model_Hour="0" # ----------------------------------------------------------------------- TemplateFileName="" TemplateFileFound="FALSE" ItPutFileNameList="sfcdump" RawFileName="" OutDirName="" OutPutFileName="" LogFileName="sfcdump.Log" #------------------------------------------------------------------------------ if [ "${command_line_String}" = "" ] then options exit 1 else decode_command_line_String "${command_line_String}" if [ "${StartTime}" = "" ] || [ "${EndTime}" = "" ] then ${ECHO} "ERROR: Missing Start or End Times" options exit 2 elif [ "${Location}" = "" ] then ${ECHO} "ERROR: Missing Location Model was Run" options exit 3 elif [ "${DomainNum}" = "" ] then ${ECHO} "ERROR: Missing Domain Number [1 2 3]" options exit 4 else MainLoop fi fi #----------------------------------------------------------------------------- exit 0 #----------------------------------------------------------------------------- #

168

ascii2netcdf #Script purpose: Convert MADIS Data from ascii to netcdf for KSC Domains 1 & 2 # Author: Brown/Raby # Date: 4/22/2010 - modified 1/12/11 by John Raby to work with KSC data # Script Filename: ascii2netcdf # Script Location: ~jraby/Scripts # Scripts Directory: ~jraby/Scripts # ============================================================= # Enter Dates ==================================================== clear echo "Enter Start Date (YYYYmmdd)" read Start_Date echo " " echo " " echo "You Entered Start_Date: $Start_Date" echo " " echo " " sed s/Start_Date/${Start_Date}/g<~/Scripts/ascii2nc_KSCd01_06_all_template>~/Scripts/ascii2nc_KSCd01_06_all.sh ascii2nc_KSCd01_06_all.sh sed s/Start_Date/${Start_Date}/g<~/Scripts/ascii2nc_KSCd02_06_all_template>~/Scripts/ascii2nc_KSCd02_06_all.sh ascii2nc_KSCd02_06_all.sh

kate.g.smith

Typewritten Text


169

ascii2nc_KSCd01_06_all_template ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr0_06Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_00_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr1_07Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_01_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr2_08Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_02_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr3_09Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_03_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr4_10Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_04_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr5_11Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_05_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr6_12Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_06_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr7_13Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_07_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr8_14Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_08_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr9_15Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_09_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr10_16Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_10_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr11_17Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_11_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr12_18Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_12_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr13_19Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_13_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr14_20Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_14_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr15_21Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_15_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr16_22Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_16_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr17_23Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_17_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr18_00Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_18_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr19_01Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_19_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr20_02Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_20_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr21_03Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_21_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr22_04Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_22_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr23_05Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_23_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr24_06Z.txt ../MET_obs/ncobs/Start_Date_d1/KSCd01_06_24_as.nc -v 3

kate.g.smith

Typewritten Text


170

ascii2nc_KSCd01_06_all.sh ascii2nc ../MET_obs/ncobs/20101025_d1/hr0_06Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_00_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr1_07Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_01_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr2_08Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_02_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr3_09Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_03_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr4_10Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_04_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr5_11Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_05_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr6_12Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_06_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr7_13Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_07_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr8_14Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_08_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr9_15Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_09_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr10_16Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_10_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr11_17Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_11_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr12_18Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_12_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr13_19Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_13_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr14_20Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_14_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr15_21Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_15_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr16_22Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_16_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr17_23Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_17_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr18_00Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_18_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr19_01Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_19_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr20_02Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_20_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr21_03Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_21_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr22_04Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_22_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr23_05Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_23_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d1/hr24_06Z.txt ../MET_obs/ncobs/20101025_d1/KSCd01_06_24_as.nc -v 3

kate.g.smith

Typewritten Text


171

ascii2nc_KSCd02_06_all_template ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr0_06Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_00_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr1_07Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_01_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr2_08Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_02_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr3_09Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_03_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr4_10Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_04_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr5_11Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_05_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr6_12Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_06_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr7_13Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_07_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr8_14Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_08_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr9_15Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_09_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr10_16Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_10_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr11_17Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_11_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr12_18Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_12_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr13_19Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_13_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr14_20Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_14_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr15_21Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_15_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr16_22Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_16_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr17_23Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_17_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr18_00Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_18_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr19_01Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_19_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr20_02Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_20_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr21_03Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_21_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr22_04Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_22_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr23_05Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_23_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr24_06Z.txt ../MET_obs/ncobs/Start_Date_d2/KSCd02_06_24_as.nc -v 3

kate.g.smith

Typewritten Text


172

ascii2nc_KSCd02_06_all.sh ascii2nc ../MET_obs/ncobs/20101025_d2/hr0_06Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_00_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr1_07Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_01_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr2_08Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_02_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr3_09Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_03_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr4_10Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_04_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr5_11Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_05_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr6_12Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_06_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr7_13Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_07_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr8_14Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_08_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr9_15Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_09_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr10_16Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_10_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr11_17Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_11_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr12_18Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_12_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr13_19Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_13_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr14_20Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_14_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr15_21Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_15_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr16_22Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_16_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr17_23Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_17_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr18_00Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_18_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr19_01Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_19_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr20_02Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_20_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr21_03Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_21_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr22_04Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_22_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr23_05Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_23_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20101025_d2/hr24_06Z.txt ../MET_obs/ncobs/20101025_d2/KSCd02_06_24_as.nc -v 3

kate.g.smith

Typewritten Text


173

ascii2netcdf_Dug #Script purpose: Convert MADIS Data from ascii to netcdf for DUG Domains 1 & 2 # Author: Brown/Raby # Date: 4/22/2010 - modified 2/15/11 by John Raby to work with DUG data # Script Filename: ascii2netcdf # Script Location: ~jraby/Scripts # Scripts Directory: ~jraby/Scripts # ============================================================= # Enter Dates ==================================================== clear echo "Enter Start Date (YYYYmmdd)" read Start_Date echo " " echo " " echo "You Entered Start_Date: $Start_Date" echo " " echo " " sed s/Start_Date/${Start_Date}/g<~/Scripts/ascii2nc_DUGd01_06_all_template>~/Scripts/ascii2nc_DUGd01_06_all.sh ascii2nc_DUGd01_06_all.sh sed s/Start_Date/${Start_Date}/g<~/Scripts/ascii2nc_DUGd02_06_all_template>~/Scripts/ascii2nc_DUGd02_06_all.sh ascii2nc_DUGd02_06_all.sh

kate.g.smith

Typewritten Text


174

ascii2nc_DUGd01_06_all_template ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr0_06Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_00_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr1_07Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_01_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr2_08Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_02_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr3_09Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_03_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr4_10Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_04_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr5_11Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_05_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr6_12Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_06_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr7_13Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_07_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr8_14Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_08_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr9_15Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_09_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr10_16Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_10_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr11_17Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_11_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr12_18Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_12_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr13_19Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_13_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr14_20Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_14_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr15_21Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_15_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr16_22Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_16_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr17_23Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_17_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr18_00Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_18_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr19_01Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_19_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr20_02Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_20_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr21_03Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_21_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr22_04Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_22_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr23_05Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_23_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d1/hr24_06Z.txt ../MET_obs/ncobs/Start_Date_d1/DUGd01_06_24_as.nc -v 3

kate.g.smith

Typewritten Text


175

ascii2nc_DUGd01_06_all.sh ascii2nc ../MET_obs/ncobs/20100621_d1/hr0_06Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_00_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr1_07Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_01_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr2_08Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_02_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr3_09Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_03_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr4_10Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_04_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr5_11Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_05_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr6_12Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_06_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr7_13Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_07_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr8_14Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_08_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr9_15Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_09_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr10_16Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_10_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr11_17Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_11_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr12_18Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_12_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr13_19Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_13_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr14_20Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_14_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr15_21Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_15_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr16_22Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_16_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr17_23Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_17_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr18_00Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_18_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr19_01Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_19_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr20_02Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_20_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr21_03Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_21_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr22_04Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_22_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr23_05Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_23_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d1/hr24_06Z.txt ../MET_obs/ncobs/20100621_d1/DUGd01_06_24_as.nc -v 3

kate.g.smith

Typewritten Text


176

ascii2nc_DUGd02_06_all_template ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr0_06Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_00_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr1_07Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_01_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr2_08Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_02_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr3_09Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_03_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr4_10Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_04_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr5_11Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_05_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr6_12Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_06_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr7_13Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_07_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr8_14Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_08_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr9_15Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_09_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr10_16Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_10_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr11_17Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_11_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr12_18Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_12_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr13_19Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_13_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr14_20Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_14_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr15_21Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_15_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr16_22Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_16_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr17_23Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_17_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr18_00Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_18_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr19_01Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_19_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr20_02Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_20_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr21_03Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_21_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr22_04Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_22_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr23_05Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_23_as.nc -v 3 ascii2nc ../MET_obs/ncobs/Start_Date_d2/hr24_06Z.txt ../MET_obs/ncobs/Start_Date_d2/DUGd02_06_24_as.nc -v 3

kate.g.smith

Typewritten Text


177

ascii2nc_DUGd02_06_all.sh ascii2nc ../MET_obs/ncobs/20100621_d2/hr0_06Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_00_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr1_07Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_01_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr2_08Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_02_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr3_09Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_03_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr4_10Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_04_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr5_11Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_05_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr6_12Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_06_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr7_13Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_07_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr8_14Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_08_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr9_15Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_09_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr10_16Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_10_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr11_17Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_11_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr12_18Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_12_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr13_19Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_13_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr14_20Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_14_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr15_21Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_15_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr16_22Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_16_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr17_23Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_17_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr18_00Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_18_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr19_01Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_19_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr20_02Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_20_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr21_03Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_21_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr22_04Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_22_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr23_05Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_23_as.nc -v 3 ascii2nc ../MET_obs/ncobs/20100621_d2/hr24_06Z.txt ../MET_obs/ncobs/20100621_d2/DUGd02_06_24_as.nc -v 3

kate.g.smith

Typewritten Text


178

INTENTIONALLY LEFT BLANK

179

Appendix E. Embedded Scripts: WRF Post-Processing (MJM, Carson)

kate.g.smith

Typewritten Text


180

Create_Passner_Directories # # Script Purpose: Create the directories for the post process Passner WRF runs given a start date # Author: Yasmina R. Raby # Date: 06/22/2010 # Script Name: Create_Passner_Directories # Script Location: Scripts directory on carson # Calling Script: s # Scripts Called: None # Enter Start Date of WRF run echo " " echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF run" read Start_Date echo $Start_Date echo " " cd ~jraby/MET_WRFpostprd/ mkdir $Start_Date mkdir $Start_Date"_P2" mkdir $Start_Date"_P8" mkdir $Start_Date"_T3" mkdir $Start_Date"_L4" mkdir $Start_Date"_L8" mkdir $Start_Date"_B2"

kate.g.smith

Typewritten Text


181

WRF_Post_Process # # Script Purpose: This script Conducts Post Processing on WRF run # Author: Robert C. Brown # Date: 01/29/2010 # Script Name: WRF_Post_Process # Script Location: mjm scripts directory, jraby account # Calling Script: s # Scripts Called: run_wrfpost_frames_template # Enter Start Date of WRF run echo " " echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF run" read Start_Date echo $Start_Date echo " " cd ~jraby/WRFOUT mkdir $Start_Date cd $Start_Date # ../setsubs.sh # Following is from Barb's ../setsubs.sh mkdir wrfprd mkdir parm mkdir postprd mv ~jraby/WRF3011/run/wrfout* ./wrfprd/. cp ../wrf_cntrl.parm ./parm/. cp ../run_wrfpost_frames_template ./postprd/run_wrfpost_frames # End of ../setsubs.sh # cp ../run_wrfpost_frames_template ./postprd/run_wrfpost_frames_tmplate cp ../run_wrfpost_frames_template ./postprd/ cd postprd sed s/Start_Date/${Start_Date}/g<run_wrfpost_frames_template>run_wrfpost_frames run_wrfpost_frames # scp WRFPRS* jraby@carson:MET_WRFpostprd/$Start_Date

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

182

run_wrfpost_frames_template #!/bin/ksh # set -x # Script Purpose and Author: # August 2005: Hui-Ya Chuang, NCEP: This script uses # NCEP's WRF-POSTPROC to post processes WRF native model # output, and uses copygb to horizontally interpolate posted # output from native A-E to a regular projection grid. # # July 2006: Meral Demirtas, NCAR/DTC: Added new "copygb" # options and revised some parts for clarity. # #-------------------------------------------------------- # This script performs 2 jobs: # # 1. Run WRF-POSTPROC # 2. Run copygb to horizontally interpolate output from # native A-E to a regular projection grid #-------------------------------------------------------- # Date: 01/29/2010 (this version) # Script Name: run_wrfpost_frames_template # Script Location: mjm WRFOUT directory, jraby account # Calling Script: WRF_Post_Process # Scripts Called: # Set path to your top directory and your run directory # export TOP_DIR=/usr/people/jraby export DOMAINPATH=${TOP_DIR}/WRFOUT/Start_Date #Specify Dyn Core (ARW or NMM in upper case) dyncore="ARW" if [ $dyncore = "NMM" ]; then export tag=NMM elif [ $dyncore = "ARW" ]; then export tag=NCAR else echo "${dyncore} is not supported. Edit script to choose ARW or NMM dyncore." exit fi # Specify forecast start date # fhr is the first forecast hour to be post-processed # lastfhr is the last forecast hour to be post-processed # incrementhr is the incement (in hours) between forecast files export startdate=Start_Date06

kate.g.smith

Typewritten Text


183

export fhr=00 export lastfhr=24 export incrementhr=01 # Path names for WRF_POSTPROC and WRFV3 export WRF_POSTPROC_HOME=${TOP_DIR}/WPPV3 export POSTEXEC=${WRF_POSTPROC_HOME}/exec export SCRIPTS=${WRF_POSTPROC_HOME}/scripts export WRFPATH=${TOP_DIR}/WRF3011 # cd to working directory cd ${DOMAINPATH}/postprd # Link Ferrier's microphysic's table and WRF-POSTPROC control file, ln -fs ${WRFPATH}/run/ETAMPNEW_DATA eta_micro_lookup.dat ln -fs ${DOMAINPATH}/parm/wrf_cntrl.parm . export tmmark=tm00 export MP_SHARED_MEMORY=yes export MP_LABELIO=yes ####################################################### # 1. Run WRF-POSTPROC # # The WRF-POSTPROC is used to read native WRF model # output and put out isobaric state fields and derived fields. # ####################################################### pwd ls -x export NEWDATE=$startdate YYi=ècho $NEWDATE | cut -c1-4` MMi=ècho $NEWDATE | cut -c5-6` DDi=ècho $NEWDATE | cut -c7-8` HHi=ècho $NEWDATE | cut -c9-10` while [ $fhr -le $lastfhr ] ; do NEWDATE=`${POSTEXEC}/ndate.exe +${fhr} $startdate` YY=ècho $NEWDATE | cut -c1-4` MM=ècho $NEWDATE | cut -c5-6` DD=ècho $NEWDATE | cut -c7-8` HH=ècho $NEWDATE | cut -c9-10` echo 'NEWDATE' $NEWDATE echo 'YY' $YY

184

for domain in d01 d02 #for domain in d01 do cat > itag <<EOF ../wrfprd/wrfout_${domain}_${YYi}-${MMi}-${DDi}_${HHi}:00:00 netcdf ${YY}-${MM}-${DD}_${HH}:00:00 ${tag} EOF #----------------------------------------------------------------------- # Run wrfpost. #----------------------------------------------------------------------- rm fort.* ln -sf wrf_cntrl.parm fort.14 ln -sf griddef.out fort.110 ${POSTEXEC}/wrfpost.exe < itag > wrfpost_${domain}.$fhr.out 2>&1 mv WRFPRS$fhr.tm00 WRFPRS_${domain}.${fhr} # #---------------------------------------------------------------------- # End of wrf post job #---------------------------------------------------------------------- ls -l WRFPRS_${domain}.${fhr} err1=$? if test "$err1" -ne 0 then echo 'WRF POST FAILED, EXITTING' exit fi if [ $dyncore = "NMM" ]; then ####################################################################### # 2. Run copygb # # Copygb interpolates WRF-POSTPROC output from its native # grid to a regular projection grid. The package copygb # is used to horizontally interpolate from one domain # to another, it is necessary to run this step for wrf-nmm # (but not for wrf-arw) because wrf-nmm's computational # domain is on rotated Arakawa-E grid # # Copygb can be run in 3 ways as explained below. # Uncomment the preferable one.

185

# #---------------------------------------------------------------------- # # Option 1: # Copygb is run with a pre-defined AWIPS grid # (variable $gridno, see below) Specify the grid to # interpolate the forecast onto. To use standard AWIPS grids # (list in http://wwwt.emc.ncep.noaa.gov/mmb/namgrids/ or # or http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html), # set the number of the grid in variable gridno below. # To use a user defined grid, see explanation above copygb.exe command. # #export gridno=212 # #${POSTEXEC}/copygb.exe -xg${gridno} WRFPRS_${domain}.${fhr} wrfprs_${domain}.${fhr} # #---------------------------------------------------------------------- # # Option 2: # Copygb ingests a kgds definition on the command line. #${POSTEXEC}/copygb.exe -xg"255 3 109 91 37748 -77613 8 -71000 10379 9900 0 64 42000 42000" WRFPRS_${domain}.${fhr} wrfprs_${domain}.${fhr} # #---------------------------------------------------------------------- # # Option 3: # Copygb can ingests contents of files too. For example: # copygb_gridnav.txt or copygb_hwrf.txt through variable $nav. # # Option -3.1: # To run for "Lambert Comformal map projection" uncomment the following line # read nav < 'copygb_gridnav.txt' # # Option -3.2: # To run for "lat-lon" uncomment the following line # #read nav < 'copygb_hwrf.txt' # export nav # ${POSTEXEC}/copygb.exe -xg"${nav}" WRFPRS_${domain}.${fhr} wrfprs_${domain}.${fhr} # # (For more info on "copygb" see WRF-NMM User's Guide, Chapter-7.) #---------------------------------------------------------------------- # Check to see whether "copygb" created the requested file. ls -l wrfprs_${domain}.${fhr} err1=$?

186

if test "$err1" -ne 0 then echo 'copygb FAILED, EXITTING' exit fi #---------------------------------------------------------------------- # End of copygb job #---------------------------------------------------------------------- elif [ $dyncore = "ARW" ]; then ln -s WRFPRS_${domain}.${fhr} wrfprs_${domain}.${fhr} fi done let "fhr=fhr+$incrementhr" typeset -Z2 fhr NEWDATE=`${POSTEXEC}/ndate.exe +${fhr} $startdate` done date echo "End of Output Job" exit

187

post_carson # Script Purpose: Downloads post-processed data to carson # Author: Robert C. Brown # Date: 01/29/2010 # Script Name: post_carson # Script Location: mjm Scripts directory, jraby account # Calling Script: s1 # Scripts Called: echo " " echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF run" read Start_Date echo $Start_Date cd ~jraby/WRFOUT cd $Start_Date cd postprd echo " " echo "Downloading post-processed data to carson" scp WRFPRS* jraby@carson:MET_WRFpostprd/$Start_Date

kate.g.smith

Typewritten Text


188

post_carson_control # Script Purpose: Downloads Passner post-processed data for WRF control run to carson # Author: Brown/Raby # Date: 06/18/2010 # Script Name: post_carson_control # Script Location: mjm Scripts directory, jraby account # Calling Script: s2 # Scripts Called: echo " " echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF control run" read Start_Date echo $Start_Date cd ~jraby/WRFOUT cd $Start_Date cd postprd echo " " echo "Downloading post-processed control data to carson" scp WRFPRS* jraby@carson:MET_WRFpostprd/$Start_Date

kate.g.smith

Typewritten Text


189

post_carson_p2 # Script Purpose: Downloads Passner post-processed data for WRF P2 run to carson # Author: Brown/Raby # Date: 06/18/2010 # Script Name: post_carson_P2 # Script Location: mjm Scripts directory, jraby account # Calling Script: s2 # Scripts Called: echo " " echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF P2 run" read Start_Date echo $Start_Date cd ~jraby/WRFOUT cd $Start_Date cd postprd echo " " echo "Downloading post-processed P2 data to carson" scp WRFPRS* jraby@carson:MET_WRFpostprd/$Start_Date"_P2"

kate.g.smith

Typewritten Text


190

post_carson_p8 # Script Purpose: Downloads Passner post-processed data for WRF P8 run to carson # Author: Brown/J.Raby/Y.Raby # Date: 06/18/2010 # Script Name: post_carson_P8 # Script Location: mjm Scripts directory, jraby account # Calling Script: s2 # Scripts Called: echo " " echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF P8 run" read Start_Date echo $Start_Date cd ~jraby/WRFOUT cd $Start_Date cd postprd echo " " echo "Downloading post-processed P8 data to carson" scp WRFPRS* jraby@carson:MET_WRFpostprd/$Start_Date"_P8"

kate.g.smith

Typewritten Text


191

post_carson_T3 # Script Purpose: Downloads Passner post-processed data for WRF T3 run to carson # Author: Brown/J.Raby/Y.Raby # Date: 06/21/2010 # Script Name: post_carson_T3 # Script Location: mjm Scripts directory, jraby account # Calling Script: s2 # Scripts Called: echo " " echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF T3 run" read Start_Date echo $Start_Date cd ~jraby/WRFOUT cd $Start_Date cd postprd echo " " echo "Downloading post-processed T3 data to carson" scp WRFPRS* jraby@carson:MET_WRFpostprd/$Start_Date"_T3"

kate.g.smith

Typewritten Text


192

post_carson_L4 # Script Purpose: Downloads Passner post-processed data for WRF L4 run to carson # Author: Brown/J.Raby/Y.Raby # Date: 06/21/2010 # Script Name: post_carson_L4 # Script Location: mjm Scripts directory, jraby account # Calling Script: s2 # Scripts Called: echo " " echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF L4 run" read Start_Date echo $Start_Date cd ~jraby/WRFOUT cd $Start_Date cd postprd echo " " echo "Downloading post-processed L4 data to carson" scp WRFPRS* jraby@carson:MET_WRFpostprd/$Start_Date"_L4"

kate.g.smith

Typewritten Text


193

post_carson_L8 # Script Purpose: Downloads Passner post-processed data for WRF L8 run to carson # Author: Brown/J.Raby/Y.Raby # Date: 06/21/2010 # Script Name: post_carson_L8 # Script Location: mjm Scripts directory, jraby account # Calling Script: s2 # Scripts Called: echo " " echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF L8 run" read Start_Date echo $Start_Date cd ~jraby/WRFOUT cd $Start_Date cd postprd echo " " echo "Downloading post-processed L8 data to carson" scp WRFPRS* jraby@carson:MET_WRFpostprd/$Start_Date"_L8"

kate.g.smith

Typewritten Text


194

post_carson_B2 # Script Purpose: Downloads Passner post-processed data for WRF B2 run to carson # Author: Brown/J.Raby/Y.Raby # Date: 06/21/2010 # Script Name: post_carson_B2 # Script Location: mjm Scripts directory, jraby account # Calling Script: s2 # Scripts Called: echo " " echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF B2 run" read Start_Date echo $Start_Date cd ~jraby/WRFOUT cd $Start_Date cd postprd echo " " echo "Downloading post-processed B2 data to carson" scp WRFPRS* jraby@carson:MET_WRFpostprd/$Start_Date"_B2"

kate.g.smith

Typewritten Text


195

Appendix F. Embedded Scripts: MET Point-Stat (Carson)

kate.g.smith

Typewritten Text


196

run_Point_Stat # Script Purpose: To run run_PointStat_Passner for PointStat output for Passner's # WRF runs # Author: Yasmina R. Raby # Date: 08/18/2010 # Script Name: run_Point_Stat # Script Location: ~jraby/Scripts on carson # Scripts Called: ~jraby/Scripts/run_PointStat_Passner.sh on carson # Input: # Observations are expected to be in ~jraby/MET_obs/ncobs/ on carson # Config files are expected to be in ~jraby/MET_PointStat/ on carson # Post processed WRF files are expected to be in ~jraby/MET_WRFpostprd # on carson # Output: ~jraby/MET_PointStat/results_(resolution/domain)_(variation) cd ~jraby/MET_PointStat echo " " echo "Enter Start_Date (YYYYmmdd) of the completed WRF run" read Start_Date echo "Enter WRF run variation (P2, P8, T3, L4, L8, B2, control)" read variation echo "Enter domain/resolution (m1o1, m1o2, m2o2, all)" read domainResolution if [ "$variation" != "control" ] then var="_"$variation else var="" fi if [ $domainResolution == 'all' ] then echo "Running Point_Stat for all three domain/resolutions" echo "Running Point_Stat for $Start_Date "m1o1" $variation " run_PointStat_Passner.sh $Start_Date $variation m1o1 >& "logs/"$Start_Date"_m1o1_"$variation"_log" echo "Running Point_Stat for $Start_Date "m1o2" $variation " run_PointStat_Passner.sh $Start_Date $variation m1o2 >& "logs/"$Start_Date"_m1o2_"$variation"_log" echo "Running Point_Stat for $Start_Date "m2o2" $variation " run_PointStat_Passner.sh $Start_Date $variation m2o2 >& "logs/"$Start_Date"_m2o2_"$variation"_log" echo "run_Point_Stat Complete" echo "Point_Stat result files: results_m1o1${var}/${Start_Date}, results_m1o2${var}/${Start_Date}, results_m2o2${var}/${Start_Date}"

kate.g.smith

Typewritten Text


197

echo "Point_Stat log files: logs/"$Start_Date"_m1o1_"$variation"_log, logs/"$Start_Date"_m1o2_"$variation"_log, logs/"$Start_Date"_m2o2_"$variation"_log" else echo "Running Point_Stat" run_PointStat_Passner.sh $Start_Date $variation $domainResolution >& "logs/"$Start_Date"_"$domainResolution"_"$variation"_log" echo "run_Point_Stat Complete" echo "Point_Stat result files: results_${domainResolution}${var}/${Start_Date}" echo "Point_Stat log file: logs/"$Start_Date"_"$domainResolution"_"$variation"_log" fi

198

Run_PointStat_Passner.sh # Script Purpose: To generate PointStat output for Passner's WRF runs # Author: Yasmina R. Raby modified by J. Raby 01/11/11 to chg DUG to KSC for FL data # Date: 07/06/2010 # Script Name: run_PointStat_Passner # Script Location: ~jraby/Scripts on carson # Script Called By: ~jraby/Scripts/run_Point_Stat # Input: # Observations are expected to be in ~jraby/MET_obs/ncobs/ on carson # Config files are expected to be in ~jraby/MET_PointStat/ on carson # Post processed WRF files are expected to be in ~jraby/MET_WRFpostprd # on carson # Output: ~jraby/MET_PointStat/results_(resolution/domain)_(variation) echo "run_PointStat_Passner is running" Start_Date=$1 variation=$2 domainResolution=$3 echo "Start Date:" $Start_Date echo "Variation:" $variation echo "Domain/resolution:" $domainResolution #If it is NOT a control run, then add an underbar to the WRF variation type for the #directories below. if [ "$variation" != "control" ] then var="_"$variation else var="" fi # If statement - if domain is m1o1, set to d1, otherwise, we know that m1o2 # and m2o2 will result in d2 # Note: The same essential directory is used for the observations, except that it # either uses prep buffer (_pb.nc) or madis (_as.nc) at the end. Also if it is # _as.nc, note that its directory is $Start_Date_d1 or d2, depending on the domain. if [ "$domainResolution" == "m1o1" ] then obsDir=" ../MET_obs/ncobs/"$Start_Date"/KSCd01_06_" obsDir2=" ../MET_obs/ncobs/"$Start_Date"_d1/KSCd01_06_" domain="d01" firstObs="_pb.nc" secondObs="_as.nc" #Note that when _as.ns is the extention, the #domain appears on the end of the start date

kate.g.smith

Typewritten Text


199

# If it is the control case, we want to add a pb on the end of the # config file. if [ "$var" == "" ] then controlConfig="pb" fi configFile="./PointStatConfig_m1o1"$controlConfig$var" -ncfile" else obsDir2=" ../MET_obs/ncobs/"$Start_Date"/KSCd02_06_" obsDir=" ../MET_obs/ncobs/"$Start_Date"_d2/KSCd02_06_" if [ "$domainResolution" == "m2o2" ] then # NOTE: This actually refers to the resolution, # and not the 'area' domain. domain="d02" else domain="d01" fi firstObs="_as.nc" secondObs="_pb.nc" # If it is the control case, we want to add an as on the end of the # config file if [ "$var" == "" ] then controlConfig="as" fi configFile="./PointStatConfig_"$domainResolution$controlConfig$var" -ncfile" fi #Begin generation mkdir -p ./results_$domainResolution$var/$Start_Date echo "Running Point_Stat" #For loop: Doing the statement 25 times (00-24) for i in 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 do echo "Hour" $i #This is the line that gets repeated 25 times. point_stat ../MET_WRFpostprd/$Start_Date$var/WRFPRS_$domain.$i $obsDir$i$firstObs $configFile $obsDir2$i$secondObs -outdir ./results_$domainResolution$var/$Start_Date -v 2 done echo "run_PointStat_Passner Completed"

200

PointStatConfig_m1o1pb //////////////////////////////////////////////////////////////////////////////// // // Point_Stat configuration file for any location for Passner control case // for 3 km model output compared to PrepBUFR (metar and upper air) and MADIS (mesonet) obs in domain 01 // //////////////////////////////////////////////////////////////////////////////// // // Specify a name to designate the model being verified. This name will be // written to the second column of the ASCII output generated. // model = "WRF"; // // Beginning and ending time offset values in seconds for observations // to be used. These time offsets are defined in reference to the // forecast valid time, v. Observations with a valid time falling in the // window [v+beg_ds, v+end_ds] will be used. // These selections are overridden by the command line arguments // -valid_beg and -valid_end. // beg_ds = -1200; end_ds = 1200; // // Specify a comma-separated list of fields to be verified. Each field is // specified as a grib code or corresponding grib code abbreviation followed // by an accumulation or vertical level indicator. // // Each verification field is specified as one of the following: // GC/ANNN for accumulation interval NNN // GC/ZNNN for vertical level NNN (may only be set to 0, 2, or 10) // GC/PNNN for pressure level NNN in hPa // GC/PNNN-NNN for a range of pressure levels in hPa // GC/LNNN for a generic level type // GC/RNNN for a specific GRIB record number // Where GC is the number of or abbreviation for the grib code // to be verified. // http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html // // NOTE: To verify winds as vectors rather than scalars, // specify UGRD (or 33) followd by VGRD (or 34) with the // same level values. // // NOTE: To process a probability field, add "/PROB", such as "POP/Z0/PROB".

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

201

// // e.g. fcst_field[] = [ "SPFH/P500", "TMP/P500" ]; // fcst_field[] = [ "TMP/P100-225", "TMP/P225-425", "TMP/P425-625", "TMP/P625-775", "TMP/P775-875", "TMP/P875-910", "TMP/P910-1010", "HGT/P100-225", "HGT/P225-425", "HGT/P425-625", "HGT/P625-775", "HGT/P775-875", "HGT/P875-910", "HGT/P910-1010", "UGRD/P100-225", "VGRD/P100-225", "UGRD/P225-425", "VGRD/P225-425", "UGRD/P425-625", "VGRD/P425-625", "UGRD/P625-775", "VGRD/P625-775", "UGRD/P775-875", "VGRD/P775-875", "UGRD/P875-910", "VGRD/P875-910", "UGRD/P910-1010", "VGRD/P910-1010", "DPT/P100-225", "DPT/P225-425", "DPT/P425-625", "DPT/P625-775", "DPT/P775-875", "DPT/P875-910", "DPT/P910-1010", "WIND/P100-225", "WIND/P225-425", "WIND/P425-625", "WIND/P625-775", "WIND/P775-875", "WIND/P875-910", "WIND/P910-1010", "RH/P100-225", "RH/P225-425", "RH/P425-625", "RH/P625-775", "RH/P775-875", "RH/P875-910", "RH/P910-1010", "TMP/Z2", "UGRD/Z10", "VGRD/Z10", "DPT/Z2", "WIND/Z10", "RH/Z2", "PRMSL/Z0" ]; obs_field[] = []; // // Specify a comma-separated list of groups of thresholds to be applied to the // fields listed above. Thresholds for the forecast and observation fields // may be specified separately. If the obs_thresh parameter is left blank, // it will default to the contents of fcst_thresh. // // At least one threshold must be provided for each field listed above. The // lengths of the "fcst_field" and "fcst_thresh" arrays must match, as must // lengths of the "obs_field" and "obs_thresh" arrays. To apply multiple // thresholds to a field, separate the threshold values with a space. // // Each threshold must be preceded by a two letter indicator for the type of // thresholding to be performed: // 'lt' for less than 'le' for less than or equal to // 'eq' for equal to 'ne' for not equal to // 'gt' for greater than 'ge' for greater than or equal to // // NOTE: Thresholds for probabilities must be preceeded by "ge". // // e.g. fcst_thresh[] = [ "gt80", "gt273" ]; // fcst_thresh[] = [ "gt273", "gt273", "gt273", "gt273", "gt273", "gt273", "gt273", "gt14000", "gt8000", "gt4000", "gt2000", "gt1000", "gt500", "gt500", "gt10", "gt5", "gt10", "gt5", "gt5", "gt5", "gt5", "gt5", "gt5", "gt5", "gt5", "gt5", "gt5", "gt5", "gt273", "gt273", "gt273", "gt273", "gt273", "gt273", "gt273", "gt20", "gt20", "gt10", "gt10", "gt10", "gt5", "gt5", "gt20", "gt20", "gt20", "gt30", "gt30", "gt30", "gt30", "gt273", "gt2", "gt2", "gt273", "gt5", "gt50", "gt1000" ]; obs_thresh[] = [];

202

// // Specify a comma-separated list of thresholds to be used when computing // VL1L2 and VAL1L2 partial sums for winds. The thresholds are applied to the // wind speed values derived from each U/V pair. Only those U/V pairs which meet // the wind speed threshold criteria are retained. If the obs_wind_thresh // parameter is left blank, it will default to the contents of fcst_wind_thresh. // // To apply multiple wind speed thresholds, separate the threshold values with a // space. Use "NA" to indicate that no wind speed threshold should be applied. // // Each threshold must be preceded by a two letter indicator for the type of // thresholding to be performed: // 'lt' for less than 'le' for less than or equal to // 'eq' for equal to 'ne' for not equal to // 'gt' for greater than 'ge' for greater than or equal to // 'NA' for no threshold // // e.g. fcst_wind_thresh[] = [ "NA", "ge1.0" ]; // fcst_wind_thresh[] = [ "NA" ]; obs_wind_thresh[] = [ "ge1.0" ]; // // Specify a comma-separated list of PrepBufr message types with which // to perform the verification. Statistics will be computed separately // for each message type specified. At least one PrepBufr message type // must be provided. // List of valid message types: // ADPUPA AIRCAR AIRCFT ADPSFC ERS1DA GOESND GPSIPW // MSONET PROFLR QKSWND RASSDA SATEMP SATWND SFCBOG // SFCSHP SPSSMI SYNDAT VADWND // ANYAIR (= AIRCAR, AIRCFT) // ANYSFC (= ADPSFC, SFCSHP, ADPUPA, PROFLR) // ONLYSF (= ADPSFC, SFCSHP) // http://www.emc.ncep.noaa.gov/mmb/data_processing/prepbufr.doc/table_1.htm // // e.g. message_type[] = [ "ADPUPA", "AIRCAR" ]; // message_type[] = [ "ADPUPA", "AIRCAR", "AIRCFT", "ADPSFC" ]; // // Specify a comma-separated list of grids to be used in masking the data over // which to perform scoring. An empty list indicates that no masking grid // should be performed. The standard NCEP grids are named "GNNN" where NNN // indicates the three digit grid number. Enter "FULL" to score over the

203

// entire domain. // http://www.nco.ncep.noaa.gov/pmb/docs/on388/tableb.html // // e.g. mask_grid[] = [ "FULL" ]; // mask_grid[] = [ "FULL" ]; // // Specify a comma-separated list of masking regions to be applied. // An empty list indicates that no additional masks should be used. // The masking regions may be defined in one of 4 ways: // // (1) An ASCII file containing a lat/lon polygon. // Latitude in degrees north and longitude in degrees east. // By default, the first and last polygon points are connected. // e.g. "MET_BASE/data/poly/EAST.poly" which consists of n points: // "poly_name lat1 lon1 lat2 lon2... latn lonn" // // (2) The NetCDF output of the gen_poly_mask tool. // // (3) A NetCDF data file, followed by the name of the NetCDF variable // to be used, and optionally, a threshold to be applied to the field. // e.g. "sample.nc var_name gt0.00" // // (4) A GRIB data file, followed by a description of the field // to be used, and optionally, a threshold to be applied to the field. // e.g. "sample.grb APCP/A3 gt0.00" // // Any NetCDF or GRIB file used must have the same grid dimensions as the // data being verified. // // MET_BASE may be used in the path for the files above. // // e.g. mask_poly[] = [ "MET_BASE/data/poly/EAST.poly", // "poly_mask.ncf", // "sample.nc APCP", // "sample.grb HGT/Z0 gt100.0" ]; // mask_poly[] = []; // // Specify the name of an ASCII file containing a space-separated list of // station ID's at which to perform verification. Each station ID specified // is treated as an individual masking region. // // An empty list file name indicates that no station ID masks should be used. // // MET_BASE may be used in the path for the station ID mask file name. // // e.g. mask_sid = "MET_BASE/data/stations/CONUS.stations"; // mask_sid = "";

204

// // Specify a comma-separated list of values for alpha to be used when computing // confidence intervals. Values of alpha must be between 0 and 1. // // e.g. ci_alpha[] = [ 0.05, 0.10 ]; // ci_alpha[] = [ 0.05 ]; // // Specify the method to be used for computing bootstrap confidence intervals. // The value for this is interpreted as follows: // (0) Use the BCa interval method (computationally intensive) // (1) Use the percentile interval method // boot_interval = 1; // // Specify a proportion between 0 and 1 to define the replicate sample size // to be used when computing percentile intervals. The replicate sample // size is set to boot_rep_prop * n, where n is the number of raw data points. // // e.g boot_rep_prop = 0.80; // boot_rep_prop = 1.0; // // Specify the number of times each set of matched pair data should be // resampled when computing bootstrap confidence intervals. A value of // zero disables the computation of bootstrap condifence intervals. // // e.g. n_boot_rep = 1000; // n_boot_rep = 0; // // Specify the name of the random number generator to be used. See the MET // Users Guide for a list of possible random number generators. // boot_rng = "mt19937"; // // Specify the seed value to be used when computing bootstrap confidence // intervals. If left unspecified, the seed will change for each run and // the computed bootstrap confidence intervals will not be reproducable. // boot_seed = ""; //

205

// Specify a comma-separated list of interpolation method(s) to be used // for comparing the forecast grid to the observation points. String values // are interpreted as follows: // MIN = Minimum in the neighborhood // MAX = Maximum in the neighborhood // MEDIAN = Median in the neighborhood // UW_MEAN = Unweighted mean in the neighborhood // DW_MEAN = Distance-weighted mean in the neighborhood // LS_FIT = Least-squares fit in the neighborhood // // In all cases, vertical interpolation is performed in the natural log // of pressure of the levels above and below the observation. // // e.g. interp_method[] = [ "UW_MEAN", "MEDIAN" ]; // interp_method[] = [ "DW_MEAN" ]; // // Specify a comma-separated list of box widths to be used by the // interpolation techniques listed above. A value of 1 indicates that // the nearest neighbor approach should be used. For a value of n // greater than 1, the n*n grid points closest to the observation define // the neighborhood. // // e.g. interp_width = [ 1, 3, 5 ]; // interp_width[] = [ 2 ]; // // When interpolating, compute a ratio of the number of valid data points // to the total number of points in the neighborhood. If that ratio is // less than this threshold, do not include the observation. This // threshold must be between 0 and 1. Setting this threshold to 1 will // require that each observation be surrounded by n*n valid forecast // points. // // e.g. interp_thresh = 1.0; // interp_thresh = 1.0; // // Specify flags to indicate the type of data to be output: // (1) STAT and FHO Text Files, FHO rates: // Total (TOTAL), // Forecast Rate (F_RATE), // Hit Rate (H_RATE), // Observation Rate (O_RATE) // // (2) STAT and CTC Text Files, Contingency Table Counts: // Total (TOTAL), // Forecast Yes and Observation Yes Count (FY_OY), // Forecast Yes and Observation No Count (FY_ON), // Forecast No and Observation Yes Count (FN_OY),

206

// Forecast No and Observation No Count (FN_ON) // // (3) STAT and CTS Text Files, Contingency Table Scores: // Total (TOTAL), // Base Rate (BASER), BASER_CL, BASER_CU, // Forecast Mean (FMEAN), FMEAN_CL, FMEAN_CU, // Accuracy (ACC), ACC_CL, ACC_CU, // Frequency Bias (FBIAS), // Probability of Detecting Yes (PODY), PODY_CL, PODY_CU, // Probability of Detecting No (PODN), PODN_CL, PODN_CU, // Probability of False Detection (POFD), POFD_CL, POFD_CU, // False Alarm Ratio (FAR), FAR_CL, FAR_CU, // Critical Success Index (CSI), CSI_CL, CSI_CU, // Gilbert Skill Score (GSS), // Hanssen and Kuipers Discriminant (HK), HK_CL, HK_CU, // Heidke Skill Score (HSS), // Odds Ratio (ODDS), ODDS_CL, ODDS_CU // // (4) STAT and CNT Text Files, Statistics of Continuous Variables: // Total (TOTAL), // Forecast Mean (FBAR), FBAR_CL, FBAR_CU, // Forecast Standard Deviation (FSTDEV), FSTDEV_CL, FSTDEV_CU // Observation Mean (OBAR), OBAR_CL, OBAR_CU, // Observation Standard Deviation (OSTDEV), OSTDEV_CL, OSTDEV_CU, // Pearson's Correlation Coefficient (PR_CORR), PR_CORR_CL, PR_CORR_CU, // Spearman's Rank Correlation Coefficient (SP_CORR), // Kendall Tau Rank Correlation Coefficient (KT_CORR), // Number of ranks compared (RANKS), // Number of tied ranks in the forecast field (FRANK_TIES), // Number of tied ranks in the observation field (ORANK_TIES), // Mean Error (ME), ME_CL, ME_CU, // Standard Deviation of the Error (ESTDEV), ESTDEV_CL, ESTDEV_CU, // Bias (BIAS = FBAR - OBAR), // Mean Absolute Error (MAE), // Mean Squared Error (MSE), // Bias-Corrected Mean Squared Error (BCMSE), // Root Mean Squared Error (RMSE), // Percentiles of the Error (E10, E25, E50, E75, E90) // // NOTE: CL and CU values define lower and upper // confidence interval limits. // // (5) STAT and SL1L2 Text Files, Scalar Partial Sums: // Total (TOTAL), // Forecast Mean (FBAR), // = mean(f) // Observation Mean (OBAR), // = mean(o) // Forecast*Observation Product Mean (FOBAR), // = mean(f*o) // Forecast Squared Mean (FFBAR),

207

// = mean(f^2) // Observation Squared Mean (OOBAR) // = mean(o^2) // // (6) STAT and SAL1L2 Text Files, Scalar Anomaly Partial Sums: // Total (TOTAL), // Forecast Anomaly Mean (FABAR), // = mean(f-c) // Observation Anomaly Mean (OABAR), // = mean(o-c) // Product of Forecast and Observation Anomalies Mean (FOABAR), // = mean((f-c)*(o-c)) // Forecast Anomaly Squared Mean (FFABAR), // = mean((f-c)^2) // Observation Anomaly Squared Mean (OOABAR) // = mean((o-c)^2) // // (7) STAT and VL1L2 Text Files, Vector Partial Sums: // Total (TOTAL), // U-Forecast Mean (UFBAR), // = mean(uf) // V-Forecast Mean (VFBAR), // = mean(vf) // U-Observation Mean (UOBAR), // = mean(uo) // V-Observation Mean (VOBAR), // = mean(vo) // U-Product Plus V-Product (UVFOBAR), // = mean(uf*uo+vf*vo) // U-Forecast Squared Plus V-Forecast Squared (UVFFBAR), // = mean(uf^2+vf^2) // U-Observation Squared Plus V-Observation Squared (UVOOBAR) // = mean(uo^2+vo^2) // // (8) STAT and VAL1L2 Text Files, Vector Anomaly Partial Sums: // U-Forecast Anomaly Mean (UFABAR), // = mean(uf-uc) // V-Forecast Anomaly Mean (VFABAR), // = mean(vf-vc) // U-Observation Anomaly Mean (UOABAR), // = mean(uo-uc) // V-Observation Anomaly Mean (VOABAR), // = mean(vo-vc) // U-Anomaly Product Plus V-Anomaly Product (UVFOABAR), // = mean((uf-uc)*(uo-uc)+(vf-vc)*(vo-vc)) // U-Forecast Anomaly Squared Plus V-Forecast Anomaly Squared (UVFFABAR), // = mean((uf-uc)^2+(vf-vc)^2) // U-Observation Anomaly Squared Plus V-Observation Anomaly Squared (UVOOABAR) // = mean((uo-uc)^2+(vo-vc)^2) // // (9) STAT and PCT Text Files, Nx2 Probability Contingency Table Counts:

208

// Total (TOTAL), // Number of Forecast Probability Thresholds (N_THRESH), // Probability Threshold Value (THRESH_i), // Row Observation Yes Count (OY_i), // Row Observation No Count (ON_i), // NOTE: Previous 3 columns repeated for each row in the table // Last Probability Threshold Value (THRESH_n) // // (10) STAT and PSTD Text Files, Nx2 Probability Contingency Table Scores: // Total (TOTAL), // Number of Forecast Probability Thresholds (N_THRESH), // Reliability (RELIABILITY), // Resolution (RESOLUTION), // Uncertainty (UNCERTAINTY), // Area Under the ROC Curve (ROC_AUC), // Brier Score (BRIER), BRIER_NCL, BRIER_NCU, // Probability Threshold Value (THRESH_i) // NOTE: Previous column repeated for each probability threshold // // (11) STAT and PJC Text Files, Joint/Continuous Statistics of // Probabilistic Variables: // Total (TOTAL), // Number of Forecast Probability Thresholds (N_THRESH), // Probability Threshold Value (THRESH_i), // Observation Yes Count Divided by Total (OY_TP_i), // Observation No Count Divided by Total (ON_TP_i), // Calibration (CALIBRATION_i), // Refinement (REFINEMENT_i), // Likelikhood (LIKELIHOOD_i), // Base Rate (BASER_i), // NOTE: Previous 7 columns repeated for each row in the table // Last Probability Threshold Value (THRESH_n) // // (12) STAT and PRC Text Files, ROC Curve Points for // Probabilistic Variables: // Total (TOTAL), // Number of Forecast Probability Thresholds (N_THRESH), // Probability Threshold Value (THRESH_i), // Probability of Detecting Yes (PODY_i), // Probability of False Detection (POFD_i), // NOTE: Previous 3 columns repeated for each row in the table // Last Probability Threshold Value (THRESH_n) // // (13) STAT and MPR Text Files, Matched Pair Data: // Total (TOTAL), // Index (INDEX), // Latitude (LAT), // Longitude (LON), // Level (LEVEL), // Forecast Value (FCST), // Observation Value (OBS), // Climatological Value (CLIMO), // Interpolation Methold (INTERP_MTHD),

209

// Interpolation Points (INTERP_PNTS) // // In the expressions above, f are forecast values, o are observed values, // and c are climatological values. // // Values for these flags are interpreted as follows: // (0) Do not generate output of this type // (1) Write output to a STAT file // (2) Write output to a STAT file and a text file // output_flag[] = [ 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2 ]; // // Flag to indicate whether Kendall's Tau and Spearman's Rank Correlation // Coefficients should be computed. Computing them over large datasets is // computationally intensive and slows down the runtime execution significantly. // (0) Do not compute these correlation coefficients // (1) Compute these correlation coefficients // rank_corr_flag = 1; // // Specify the GRIB Table 2 parameter table version number to be used // for interpreting GRIB codes. // http://www.nco.ncep.noaa.gov/pmb/docs/on388/table2.html // grib_ptv = 2; // // Directory where temporary files should be written. // tmp_dir = "/tmp"; // // Prefix to be used for the output file names. // output_prefix = "m1o1pb"; // // Indicate a version number for the contents of this configuration file. // The value should generally not be modified. // version = "V2.0";

210


211

Appendix G. Embedded Scripts: MET Stat-Analysis (Carson)

kate.g.smith

Typewritten Text


212

run_Stat_Analysis # Script Purpose: To run Stat Analysis on Point Stat runs done for Passner's # WRF models. # Author: Yasmina R. Raby # Date: 07/20/2010 # Script Name: run_Stat_Analysis # Script Location: ~jraby/Scripts on carson # Scripts Called: run_sfc_template, run_ua_adpupa_template.sh, # run_ua_acft_template.sh, run_ua_aircar_template.sh, # run_sfc_template_hours.sh, run_ua_template_all_hours.sh, # run_acft_template_all_hours.sh, run_aircar_template_all_hours.sh # All in ~jraby/Scripts/Stat_Analysis_Scripts on carson # Input: Point Stat files expected to be located on carson in # ~jraby/MET_PointStat/results_(resolution/domain)_(variation) # Output: ~jraby/MET_StatAnalysis/Summary_byDay # ~jraby/MET_StatAnalysis/Summary_byHour # What this script produces: # Statistical analysis using Stat-Analysis for: # Surface and Upper Air data for one specific date # Surface and Upper Air data for each hour over all days # Surface and Upper Air data for all hours over all days # All Upper Air data for all cases contains info from ADPUPA, AIRCFT, # and AIRCAR. echo "Start time: " date cd ~jraby/MET_StatAnalysis mkdir -p ./logs/hourlylogs mkdir -p ./logs/allhours echo "Calculate (1)one date or (2)aggregate over many dates?" read choice if [ "$choice" == "1" ] then echo "Enter Start_Date (YYYYmmdd) of the completed WRF run" read Start_Date echo "Enter WRF run variation (CO, P2, P8, T3, L4, L8, B2)" read variation echo "Enter domain/resolution (m1o1, m1o2, m2o2)" read domainResolution #Surface data echo "Running Stat Analysis on surface data for ${Start_Date} ${domainResolution} ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/daily/run_sfc_template.sh $Start_Date $variation $domainResolution >& logs/StatAnalysis_sfc_${Start_Date}_${domainResolution}_${variation}_log #Upper Air data: ADPUPA

kate.g.smith

Typewritten Text


213

echo "Running Stat Analysis on Upper Air (ADPUPA) data for ${Start_Date} ${domainResolution} ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/daily/run_ua_adpupa_template.sh $Start_Date $variation $domainResolution >& logs/StatAnalysis_ua_${Start_Date}_${domainResolution}_${variation}_log #Upper Air data: AIRCFT echo "Running Stat Analysis on Upper Air (AIRCFT) data for ${Start_Date} ${domainResolution} ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/daily/run_ua_acft_template.sh $Start_Date $variation $domainResolution >& logs/StatAnalysis_acft_${Start_Date}_${domainResolution}_${variation}_log #Upper Air data: AIRCAR echo "Running Stat Analysis on Upper Air (AIRCAR) data for ${Start_Date} ${domainResolution} ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/daily/run_ua_aircar_template.sh $Start_Date $variation $domainResolution >& logs/StatAnalysis_aircar_${Start_Date}_${domainResolution}_${variation}_log echo " " echo "run_Stat_Analysis completed." echo " " #Where the results are echo "Results are in /Summary_byDay/" echo "${domainResolution}_${variation}_sfc/${Start_Date}" echo "${domainResolution}_${variation}_ua/${Start_Date}" echo "${domainResolution}_${variation}_acft/${Start_Date}" echo "${domainResolution}_${variation}_aircar/${Start_Date}" echo " " #Where the logs are echo "Logs are in /logs/" echo "StatAnalysis_sfc_${Start_Date}_${domainResolution}_${variation}_log" echo "StatAnalysis_ua_${Start_Date}_${domainResolution}_${variation}_log" echo "StatAnalysis_acft_${Start_Date}_${domainResolution}_${variation}_log" echo "StatAnalysis_aircar_${Start_Date}_${domainResolution}_${variation}_log" else echo "Enter WRF run variation (CO, P2, P8, T3, L4, L8, B2)" read variation echo "Enter domain/resolution (m1o1, m1o2, m2o2)" read domainResolution echo "What kind of results? (1)By hour or (2)all days, all hours accumulated?" read dataChoice if [ "$dataChoice" == "1" ] then

214

#Surface data - produces results for each hour aggregated over all available days for i in 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 do echo "Running Stat Analysis for surface data for h${i} using all available dates within ${domainResolution}, WRF variation ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/hourly/run_sfc_template_hours.sh $i $variation $domainResolution >& logs/hourlylogs/StatAnalysis_sfc_${domainResolution}_${variation}_h${i}_log done # Do the same for upper air data - ADPUPA will likely only have 2 # hours worth of data for i in 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 do echo "Running Stat Analysis for upper air data (ADPUPA) for h${i} using all available dates within ${domainResolution}, WRF variation ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/hourly/run_ua_template_hours.sh $i $variation $domainResolution >& logs/hourlylogs/StatAnalysis_ua_${domainResolution}_${variation}_h${i}_log done # Do the same for upper air data - AIRCFT for i in 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 do echo "Running Stat Analysis for upper air data (AIRCFT) for h${i} using all available dates within ${domainResolution}, WRF variation ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/hourly/run_ua_acft_template_hours.sh $i $variation $domainResolution >& logs/hourlylogs/StatAnalysis_ua_acft_${domainResolution}_${variation}_h${i}_log done # Do the same for upper air data - AIRCAR for i in 00 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 do echo "Running Stat Analysis for upper air data (AIRCAR) for h${i} using all available dates within ${domainResolution}, WRF variation ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/hourly/run_ua_aircar_template_hours.sh $i $variation $domainResolution >&

215

logs/hourlylogs/StatAnalysis_ua_aircar_${domainResolution}_${variation}_h${i}_log done #Where the results are echo " " echo "run_Stat_Analysis completed." echo " " echo "Results are in /Summary_byHour/" echo "${domainResolution}_${variation}_sfc/" echo "${domainResolution}_${variation}_ua/" echo "${domainResolution}_${variation}_ua_acft/" echo "${domainResolution}_${variation}_ua_aircar/" echo " " #Where the logs are echo "Logs are in logs/hourlylogs" echo "StatAnalysis_sfc_${domainResolution}_${variation}_hxx_log" echo "StatAnalysis_ua_${domainResolution}_${variation}_hxx_log" echo "StatAnalysis_ua_acft_${domainResolution}_${variation}_hxx_log" echo "StatAnalysis_ua_aircar_${domainResolution}_${variation}_hxx_log" else #Surface data summarized over all days and over all hours echo "Running Stat Analysis for surface for all available hours using all available dates within ${domainResolution}, WRF variation ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/all_hours/run_sfc_template_all_hours.sh $variation $domainResolution >& logs/allhours/StatAnalysis_sfc_${domainResolution}_${variation}_allhrs_log #Upper Air data summarized over all days and over all hours: ADPUPA echo "Running Stat Analysis for upper air data (ADPUPA) for all available hours using all available dates within ${domainResolution}, WRF variation ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/all_hours/run_ua_template_all_hours.sh $variation $domainResolution >& logs/allhours/StatAnalysis_ua_${domainResolution}_${variation}_allhrs_log #Upper Air data summarized over all days and over all hours: AIRCFT echo "Running Stat Analysis for upper air data (AIRCFT) for all available hours using all available dates within ${domainResolution}, WRF variation ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/all_hours/run_acft_template_all_hours.sh $variation $domainResolution >&

216

logs/allhours/StatAnalysis_acft_${domainResolution}_${variation}_allhrs_log #Upper Air data summarized over all days and over all hours: AIRCAR echo "Running Stat Analysis for upper air data (AIRCAR) for all available hours using all available dates within ${domainResolution}, WRF variation ${variation} ..." ~jraby/Scripts/Stat_Analysis_Scripts/all_hours/run_aircar_template_all_hours.sh $variation $domainResolution >& logs/allhours/StatAnalysis_aircar_${domainResolution}_${variation}_allhrs_log echo " " echo "run_Stat_Analysis completed." echo " " # Where the results are echo "Results are in /Summary_byHour/" echo "${domainResolution}_${variation}_sfc/allhrs" echo "${domainResolution}_${variation}_ua/allhrs" echo "${domainResolution}_${variation}_acft/allhrs" echo "${domainResolution}_${variation}_aircar/allhrs" echo " " # Where the logs are echo "Logs are in logs/hourlylogs/" echo "StatAnalysis_sfc_${domainResolution}_${variation}_allhrs_log" echo "StatAnalysis_ua_${domainResolution}_${variation}_allhrs_log" echo "StatAnalysis_acft_${domainResolution}_${variation}_allhrs_log" echo "StatAnalysis_aircar_${domainResolution}_${variation}_allhrs_log" fi fi echo "Finish time: " date

217

run_sfc_template.sh # Script Purpose: Uses stat analysis to analyze point stat surface data # for a single day. # Author: Yasmina R. Raby # Date: 07/22/2010 # Script Name: run_sfc_template # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/daily # Script called by: run_Stat_Analysis Start_Date=$1 variation=$2 domainResolution=$3 echo "Running Stat_Analysis" mkdir -p ./Summary_byDay/${domainResolution}_${variation}_sfc/${Start_Date} #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Surface Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_sfc/${Start_Date}/${domainResolution}_${variation}_sfc_${Start_Date}_SFC_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var TMP -fcst_lev Z2 stat_analysis -lookin ../MET_PointStat/results_$domainResolution$var/$Start_Date -out ./Summary_byDay/${domainResolution}_${variation}_sfc/${Start_Date}/${domainResolution}_${variation}_sfc_${Start_Date}_SFC_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var DPT -fcst_lev Z2 stat_analysis -lookin ../MET_PointStat/results_$domainResolution$var/$Start_Date -out ./Summary_byDay/${domainResolution}_${variation}_sfc/${Start_Date}/${domainResolution}_${variation}_sfc_${Start_Date}_SFC_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var RH -fcst_lev Z2 stat_analysis -lookin ../MET_PointStat/results_$domainResolution$var/$Start_Date -out ./Summary_byDay/${domainResolution}_${variation}_sfc/${Start_Date}/${domainResolution}_${variation}_sfc_${Start_Date}_SFC_PRMSL.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var PRMSL -fcst_lev Z0

kate.g.smith

Typewritten Text


218

stat_analysis -lookin ../MET_PointStat/results_$domainResolution$var/$Start_Date -out ./Summary_byDay/${domainResolution}_${variation}_sfc/${Start_Date}/${domainResolution}_${variation}_sfc_${Start_Date}_SFC_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_$domainResolution$var/$Start_Date -out ./Summary_byDay/${domainResolution}_${variation}_sfc/${Start_Date}/${domainResolution}_${variation}_sfc_${Start_Date}_SFC_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var UGRD -fcst_lev Z10 stat_analysis -lookin ../MET_PointStat/results_$domainResolution$var/$Start_Date -out ./Summary_byDay/${domainResolution}_${variation}_sfc/${Start_Date}/${domainResolution}_${variation}_sfc_${Start_Date}_SFC_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var VGRD -fcst_lev Z10 stat_analysis -lookin ../MET_PointStat/results_$domainResolution$var/$Start_Date -out ./Summary_byDay/${domainResolution}_${variation}_sfc/${Start_Date}/${domainResolution}_${variation}_sfc_${Start_Date}_SFC_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var WIND -fcst_lev Z10 stat_analysis -lookin ../MET_PointStat/results_$domainResolution$var/$Start_Date -out ./Summary_byDay/${domainResolution}_${variation}_sfc/${Start_Date}/${domainResolution}_${variation}_sfc_${Start_Date}_SFC_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obtype ADPSFC -fcst_lev Z10

219

run_ua_adpupa_template.sh # Script Purpose: Uses stat_analysis to analyze point stat ADPUPA data # for a single day. # Author: Yasmina R. Raby # Date: 07/16/2010 # Script Name: run_ua_adpupa_template # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/daily/ # Script called by: run_Stat_Analysis Start_Date=$1 variation=$2 domainResolution=$3 echo "Running Stat_Analysis" mkdir -p ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date} #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Upper Air Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA1_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA3_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA5_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA6_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out

kate.g.smith

Typewritten Text


220

./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA7_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA8_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA9_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var TMP echo "Calculating Upper Air Dewpoint Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA1_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA3_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA5_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA6_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA7_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA8_DPT.txt -v 3 -job

221

aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA9_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var DPT echo "Calculating Upper Air Relative Humidity Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA1_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA3_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA5_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA6_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA7_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA8_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA9_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var RH

222

echo "Calculating Upper Air Height Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA1_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA3_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA5_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA6_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA7_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA8_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA9_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var HGT echo "Calculating Upper Air U-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA1_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var UGRD

223

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA3_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA5_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA6_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA7_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA8_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA9_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var UGRD echo "Calculating Upper Air V-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA1_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA3_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domain

224

Resolution}_${variation}_ua_${Start_Date}_UA5_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA6_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA7_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA8_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA9_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var VGRD echo "Calculating Upper Air Wind Speed Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA1_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA3_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA5_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA6_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var WIND

225

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA7_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA8_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA9_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var WIND echo "Calculating Upper Air Wind Direction Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA1_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P225-100 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA3_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P425-225 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA5_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P625-425 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA6_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P775-625 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA7_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P875-775 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domain

226

Resolution}_${variation}_ua_${Start_Date}_UA8_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P910-875 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_ua/${Start_Date}/${domainResolution}_${variation}_ua_${Start_Date}_UA9_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P1010-910 -obtype ADPUPA

227

run_ua_afct_template.sh # Script Purpose: Uses stat_analysis to analyze point stat AIRCFT data # for a single day. # Author: Yasmina R. Raby # Date: 07/22/2010 # Script Name: run_ua_acft_template # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/daily/ # Script called by: run_Stat_Analysis Start_Date=$1 variation=$2 domainResolution=$3 echo "Running Stat_Analysis" mkdir -p ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date} #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Upper Air Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA1_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA3_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA5_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA6_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var TMP

kate.g.smith

Typewritten Text


228

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA7_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA8_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA9_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var TMP echo "Calculating Upper Air Dewpoint Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA1_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA3_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA5_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA6_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA7_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${doma

229

inResolution}_${variation}_acft_${Start_Date}_UA8_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA9_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var DPT echo "Calculating Upper Air Relative Humidity Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA1_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA3_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA5_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA6_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA7_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA8_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA9_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var RH

230

echo "Calculating Upper Air Height Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA1_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA3_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA5_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA6_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA7_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA8_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA9_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var HGT echo "Calculating Upper Air U-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA1_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var UGRD

231

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA3_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA5_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA6_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA7_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA8_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA9_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var UGRD echo "Calculating Upper Air V-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA1_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA3_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${doma

232

inResolution}_${variation}_acft_${Start_Date}_UA5_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA6_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA7_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA8_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA9_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var VGRD echo "Calculating Upper Air Wind Speed Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA1_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA3_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA5_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA6_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var WIND

233

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA7_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA8_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA9_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var WIND echo "Calculating Upper Air Wind Direction Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA1_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P225-100 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA3_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P425-225 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA5_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P625-425 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA6_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P775-625 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA7_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P875-775 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${doma

234

inResolution}_${variation}_acft_${Start_Date}_UA8_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P910-875 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_acft/${Start_Date}/${domainResolution}_${variation}_acft_${Start_Date}_UA9_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P1010-910 -obtype ADPUPA

235

run_ua_aircar_template.sh # Script Purpose: Uses stat_analysis to analyze point stat AIRCAR data # for a single day. # Author: Yasmina R. Raby # Date: 07/22/2010 # Script Name: run_ua_aircar_template # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/daily/ # Script called by: run_Stat_Analysis Start_Date=$1 variation=$21 domainResolution=$3 echo "Running Stat_Analysis" mkdir -p ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date} #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Upper Air Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA1_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA3_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA5_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA6_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var TMP

kate.g.smith

Typewritten Text


236

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA7_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA8_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA9_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var TMP echo "Calculating Upper Air Dewpoint Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA1_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA3_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA5_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA6_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA7_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${do

237

mainResolution}_${variation}_aircar_${Start_Date}_UA8_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA9_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var DPT echo "Calculating Upper Air Relative Humidity Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA1_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA3_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA5_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA6_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA7_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA8_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA9_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var RH

238

echo "Calculating Upper Air Height Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA1_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA3_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA5_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA6_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA7_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA8_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA9_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var HGT echo "Calculating Upper Air U-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA1_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var UGRD

239

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA3_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA5_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA6_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA7_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA8_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA9_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var UGRD echo "Calculating Upper Air V-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA1_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA3_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${do

240

mainResolution}_${variation}_aircar_${Start_Date}_UA5_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA6_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA7_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA8_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA9_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var VGRD echo "Calculating Upper Air Wind Speed Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA1_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA3_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA5_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA6_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var WIND

241

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA7_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA8_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA9_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var WIND echo "Calculating Upper Air Wind Direction Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA1_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P225-100 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA3_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P425-225 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA5_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P625-425 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA6_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P775-625 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA7_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P875-775 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${do

242

mainResolution}_${variation}_aircar_${Start_Date}_UA8_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P910-875 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/${Start_Date} -out ./Summary_byDay/${domainResolution}_${variation}_aircar/${Start_Date}/${domainResolution}_${variation}_aircar_${Start_Date}_UA9_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P1010-910 -obtype ADPUPA

243

run_sfc_template_hours.sh # Script Purpose: Produces hourly surface statistics for all available # dates using stat analysis and point stat results. # Author: Yasmina R. Raby # Date: 07/22/2010 # Script Name: run_sfc_template_hours.sh # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/hourly/ # Script called by: run_Stat_Analysis hour=$1 variation=$2 domainResolution=$3 echo "Running Stat_Analysis for hour " $hour mkdir -p ./Summary_byHour/${domainResolution}_${variation}_sfc/hr${hour} if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Surface Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/hr${hour}/${domainResolution}_${variation}_sfc_SFC_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var TMP -fcst_lev Z2 -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/hr${hour}/${domainResolution}_${variation}_sfc_SFC_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var DPT -fcst_lev Z2 -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/hr${hour}/${domainResolution}_${variation}_sfc_SFC_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var RH -fcst_lev Z2 -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/hr${hour}/${domainResolution}_${variation}_sfc_SFC_PRMSL_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var PRMSL -fcst_lev Z0 -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/hr${hour}/${domainResolution}_${variation}_sfc_SFC_HGT_hr${hour}.txt -v 3 -job aggregate_stat

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

244

-line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/hr${hour}/${domainResolution}_${variation}_sfc_SFC_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var UGRD -fcst_lev Z10 -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/hr${hour}/${domainResolution}_${variation}_sfc_SFC_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var VGRD -fcst_lev Z10 -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/hr${hour}/${domainResolution}_${variation}_sfc_SFC_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var WIND -fcst_lev Z10 -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/hr${hour}/${domainResolution}_${variation}_sfc_SFC_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obtype ADPSFC -fcst_lev Z10 -fcst_lead ${hour}0000

245

run_ua_template_hours.sh # Script Purpose: Produces hourly upper air (ADPUPA) statistics for all # available dates using stat analysis and point stat results. # Author: Yasmina R. Raby # Date: 07/28/2010 # Script Name: run_ua_template_hours # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/hourly/ # Script called by: run_Stat_Analysis hour=$1 variation=$2 domainResolution=$3 echo "Running Stat_Analysis for hour " $hour mkdir -p ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour} #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Upper Air Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA1_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA3_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA5_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA6_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var TMP -fcst_lead ${hour}0000

kate.g.smith

Typewritten Text


246

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA7_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA8_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA9_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var TMP -fcst_lead ${hour}0000 echo "Calculating Upper Air Dewpoint Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA1_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA3_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA5_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA6_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA7_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainRes

247

olution}_${variation}_ua_UA8_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA9_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var DPT -fcst_lead ${hour}0000 echo "Calculating Upper Air Relative Humidity Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA1_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA3_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA5_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA6_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA7_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA8_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA9_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var RH -fcst_lead ${hour}0000

248

echo "Calculating Upper Air Height Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA1_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA3_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA5_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA6_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA7_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA8_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA9_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var HGT -fcst_lead ${hour}0000 echo "Calculating Upper Air U-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA1_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var UGRD -fcst_lead ${hour}0000

249

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA3_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA5_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA6_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA7_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA8_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA9_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var UGRD -fcst_lead ${hour}0000 echo "Calculating Upper Air V-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA1_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA3_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainRes

250

olution}_${variation}_ua_UA5_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA6_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA7_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA8_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA9_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var VGRD -fcst_lead ${hour}0000 echo "Calculating Upper Air Wind Speed Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA1_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA3_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA5_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA6_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var WIND -fcst_lead ${hour}0000

251

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA7_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA8_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA9_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var WIND -fcst_lead ${hour}0000 echo "Calculating Upper Air Wind Direction Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA1_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P225-100 -obtype ADPUPA -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA3_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P425-225 -obtype ADPUPA -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA5_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P625-425 -obtype ADPUPA -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA6_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P775-625 -obtype ADPUPA -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA7_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P875-775 -obtype ADPUPA -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainRes

252

olution}_${variation}_ua_UA8_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P910-875 -obtype ADPUPA -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/hr${hour}/${domainResolution}_${variation}_ua_UA9_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P1010-910 -obtype ADPUPA -fcst_lead ${hour}0000

253

run_ua_afct_template_hours.sh # Script Purpose: Produces hourly upper air (AIRCFT) statistics for all # available dates using stat analysis and point stat results. # Author: Yasmina R. Raby # Date: 07/28/2010 # Script Name: run_ua_acft_template_hours # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/hourly/ # Script called by: run_Stat_Analysis hour=$1 variation=$2 domainResolution=$3 echo "Running Stat_Analysis for hour " $hour mkdir -p ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour} #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Upper Air Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA1_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA3_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA5_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA6_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var TMP -fcst_lead ${hour}0000

kate.g.smith

Typewritten Text


254

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA7_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA8_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA9_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var TMP -fcst_lead ${hour}0000 echo "Calculating Upper Air Dewpoint Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA1_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA3_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA5_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA6_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA7_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainR

255

esolution}_${variation}_acft_UA8_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA9_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var DPT -fcst_lead ${hour}0000 echo "Calculating Upper Air Relative Humidity Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA1_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA3_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA5_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA6_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA7_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA8_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA9_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var RH -fcst_lead ${hour}0000

256

echo "Calculating Upper Air Height Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA1_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA3_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA5_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA6_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA7_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA8_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA9_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var HGT -fcst_lead ${hour}0000 echo "Calculating Upper Air U-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA1_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var UGRD -fcst_lead ${hour}0000

257

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA3_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA5_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA6_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA7_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA8_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA9_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var UGRD -fcst_lead ${hour}0000 echo "Calculating Upper Air V-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA1_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA3_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainR

258

esolution}_${variation}_acft_UA5_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA6_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA7_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA8_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA9_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var VGRD -fcst_lead ${hour}0000 echo "Calculating Upper Air Wind Speed Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA1_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA3_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA5_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA6_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var WIND -fcst_lead ${hour}0000

259

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA7_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA8_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA9_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var WIND -fcst_lead ${hour}0000 echo "Calculating Upper Air Wind Direction Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA1_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P225-100 -obtype AIRCFT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA3_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P425-225 -obtype AIRCFT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA5_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P625-425 -obtype AIRCFT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA6_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P775-625 -obtype AIRCFT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA7_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P875-775 -obtype AIRCFT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainR

260

esolution}_${variation}_acft_UA8_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P910-875 -obtype AIRCFT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/hr${hour}/${domainResolution}_${variation}_acft_UA9_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P1010-910 -obtype AIRCFT -fcst_lead ${hour}0000

261

run_ua_aircar_template_hours.sh # Script Purpose: Produces hourly upper air (AIRCAR) statistics for all # available dates using stat analysis and point stat results. # Author: Yasmina R. Raby # Date: 07/28/2010 # Script Name: run_ua_aircar_template_hours # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/hourly/ # Script called by: run_Stat_Analysis hour=$1 variation=$2 domainResolution=$3 echo "Running Stat_Analysis for hour " ${hour} mkdir -p ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour} #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "${variation}" != "CO" ] then var=_${variation} else var="" fi echo "Calculating Upper Air Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA1_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA3_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA5_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA6_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var TMP -fcst_lead ${hour}0000

kate.g.smith

Typewritten Text


262

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA7_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA8_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var TMP -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA9_TMP_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var TMP -fcst_lead ${hour}0000 echo "Calculating Upper Air Dewpoint Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA1_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA3_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA5_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA6_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA7_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domai

263

nResolution}_${variation}_aircar_UA8_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var DPT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA9_DPT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var DPT -fcst_lead ${hour}0000 echo "Calculating Upper Air Relative Humidity Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA1_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA3_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA5_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA6_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA7_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA8_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var RH -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA9_RH_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var RH -fcst_lead ${hour}0000

264

echo "Calculating Upper Air Height Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA1_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA3_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA5_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA6_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA7_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA8_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var HGT -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA9_HGT_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var HGT -fcst_lead ${hour}0000 echo "Calculating Upper Air U-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA1_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var UGRD -fcst_lead ${hour}0000

265

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA3_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA5_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA6_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA7_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA8_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var UGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA9_UGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var UGRD -fcst_lead ${hour}0000 echo "Calculating Upper Air V-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA1_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA3_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domai

266

nResolution}_${variation}_aircar_UA5_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA6_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA7_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA8_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var VGRD -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA9_VGRD_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var VGRD -fcst_lead ${hour}0000 echo "Calculating Upper Air Wind Speed Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA1_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA3_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA5_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA6_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var WIND -fcst_lead ${hour}0000

267

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA7_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA8_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var WIND -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA9_WIND_hr${hour}.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var WIND -fcst_lead ${hour}0000 echo "Calculating Upper Air Wind Direction Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA1_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P225-100 -obtype AIRCAR -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA3_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P425-225 -obtype AIRCAR -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA5_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P625-425 -obtype AIRCAR -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA6_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P775-625 -obtype AIRCAR -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA7_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P875-775 -obtype AIRCAR -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domai

268

nResolution}_${variation}_aircar_UA8_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P910-875 -obtype AIRCAR -fcst_lead ${hour}0000 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/hr${hour}/${domainResolution}_${variation}_aircar_UA9_WDIR_hr${hour}.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P1010-910 -obtype AIRCAR -fcst_lead ${hour}0000

269

run_sfc_template_all_hours.sh # Script Purpose: Uses stat analysis to analyze point stat surface data # for all available dates and all hours. # Author: Yasmina R. Raby # Date: 07/22/2010 # Script Name: run_sfc_template_all_hours # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/all_hours # Script called by: run_Stat_Analysis variation=$1 domainResolution=$2 echo "Running Stat_Analysis" mkdir -p ./Summary_byHour/${domainResolution}_${variation}_sfc/allhrs #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Surface Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/allhrs/${domainResolution}_${variation}_sfc_allhrs_SFC_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var TMP -fcst_lev Z2 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/allhrs/${domainResolution}_${variation}_sfc_allhrs_SFC_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var DPT -fcst_lev Z2 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/allhrs/${domainResolution}_${variation}_sfc_allhrs_SFC_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var RH -fcst_lev Z2 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/allhrs/${domainResolution}_${variation}_sfc_allhrs_SFC_PRMSL.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var PRMSL -fcst_lev Z0 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/allhrs/${domainResolution}_${variation}_sfc_allhrs_SFC_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var HGT

kate.g.smith

Typewritten Text


270

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/allhrs/${domainResolution}_${variation}_sfc_allhrs_SFC_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var UGRD -fcst_lev Z10 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/allhrs/${domainResolution}_${variation}_sfc_allhrs_SFC_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var VGRD -fcst_lev Z10 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/allhrs/${domainResolution}_${variation}_sfc_allhrs_SFC_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obtype ADPSFC -fcst_var WIND -fcst_lev Z10 stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_sfc/allhrs/${domainResolution}_${variation}_sfc_allhrs_SFC_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obtype ADPSFC -fcst_lev Z10

271

run_ua_template_all_hours.sh # Script Purpose: Uses stat analysis to collect information from point # stat files in order to analyze ADPUPA data. It aggregates data from all # available dates and all available hours. # Author: Yasmina R. Raby # Date: 07/22/2010 # Script Name: run_ua_template_all_hours # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/all_hours # Script called by: run_Stat_Analysis variation=$1 domainResolution=$2 echo "Running Stat_Analysis" mkdir -p ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Upper Air Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA1_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA3_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA5_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA6_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out

kate.g.smith

Typewritten Text


272

./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA7_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA8_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA9_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var TMP echo "Calculating Upper Air Dewpoint Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA1_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA3_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA5_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA6_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA7_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA8_DPT.txt -v 3 -job aggregate_stat -

273

line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA9_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var DPT echo "Calculating Upper Air Relative Humidity Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA1_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA3_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA5_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA6_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA7_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA8_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA9_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var RH

274

echo "Calculating Upper Air Height Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA1_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA3_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA5_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA6_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA7_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA8_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA9_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var HGT echo "Calculating Upper Air U-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA1_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var UGRD

275

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA3_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA5_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA6_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA7_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA8_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA9_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var UGRD echo "Calculating Upper Air V-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA1_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA3_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolu

276

tion}_${variation}_ua_allhrs_UA5_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA6_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA7_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA8_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA9_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var VGRD echo "Calculating Upper Air Wind Speed Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA1_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype ADPUPA -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA3_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype ADPUPA -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA5_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype ADPUPA -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA6_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype ADPUPA -fcst_var WIND

277

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA7_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype ADPUPA -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA8_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype ADPUPA -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA9_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype ADPUPA -fcst_var WIND echo "Calculating Upper Air Wind Direction Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA1_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P225-100 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA3_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P425-225 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA5_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P625-425 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA6_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P775-625 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA7_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P875-775 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolution}_${variation}_ua_allhrs_UA8_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P910-875 -obtype ADPUPA stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_ua/allhrs/${domainResolu

278

tion}_${variation}_ua_allhrs_UA9_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P1010-910 -obtype ADPUPA

279

run_acft_template_all_hours.sh # Script Purpose: Uses stat analysis to collect information from point # stat files in order to analyze AIRCFT data. It aggregates data from all # available dates and all available hours. # Author: Yasmina R. Raby # Date: 07/22/2010 # Script Name: run_acft_template_all_hours # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/all_hours/ # Script called by: run_Stat_Analysis variation=$1 domainResolution=$2 echo "Running Stat_Analysis" mkdir -p ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Upper Air Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA1_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA3_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA5_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA6_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out

kate.g.smith

Typewritten Text


280

./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA7_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA8_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA9_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var TMP echo "Calculating Upper Air Dewpoint Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA1_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA3_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA5_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA6_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA7_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA8_DPT.txt -v 3 -job aggregate_stat -

281

line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA9_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var DPT echo "Calculating Upper Air Relative Humidity Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA1_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA3_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA5_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA6_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA7_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA8_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA9_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var RH

282

echo "Calculating Upper Air Height Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA1_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA3_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA5_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA6_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA7_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA8_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA9_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var HGT echo "Calculating Upper Air U-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA1_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var UGRD

283

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA3_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA5_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA6_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA7_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA8_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA9_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var UGRD echo "Calculating Upper Air V-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA1_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA3_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainReso

284

lution}_${variation}_acft_allhrs_UA5_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA6_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA7_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA8_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA9_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var VGRD echo "Calculating Upper Air Wind Speed Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA1_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCFT -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA3_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCFT -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA5_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCFT -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA6_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCFT -fcst_var WIND

285

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA7_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCFT -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA8_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCFT -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA9_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCFT -fcst_var WIND echo "Calculating Upper Air Wind Direction Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA1_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P225-100 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA3_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P425-225 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA5_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P625-425 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA6_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P775-625 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA7_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P875-775 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainResolution}_${variation}_acft_allhrs_UA8_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P910-875 -obtype AIRCFT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_acft/allhrs/${domainReso

286

lution}_${variation}_acft_allhrs_UA9_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P1010-910 -obtype AIRCFT

287

run_aircar_template_all_hours.sh # Script Purpose: Uses stat analysis to collect information from point # stat files in order to analyze AIRCAR data. It aggregates data from all # available dates and all available hours. # Author: Yasmina R. Raby # Date: 07/22/2010 # Script Name: run_aircar_template_all_hours.sh # Script Location: ~jraby/Scripts/Stat_Analysis_Scripts/all_hours/ # Script called by: run_Stat_Analysis variation=$1 domainResolution=$2 echo "Running Stat_Analysis" mkdir -p ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs #If it is NOT a control run, then add an underbar to the WRF variation type for the Point Stat results directories below. if [ "$variation" != "CO" ] then var="_"$variation else var="" fi echo "Calculating Upper Air Temperature Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA1_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA3_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA5_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA6_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out

kate.g.smith

Typewritten Text


288

./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA7_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA8_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var TMP stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA9_TMP.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var TMP echo "Calculating Upper Air Dewpoint Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA1_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA3_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA5_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA6_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA7_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA8_DPT.txt -v 3 -job aggregate_stat

289

-line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var DPT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA9_DPT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var DPT echo "Calculating Upper Air Relative Humidity Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA1_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA3_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA5_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA6_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA7_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA8_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var RH stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA9_RH.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var RH

290

echo "Calculating Upper Air Height Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA1_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA3_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA5_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA6_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA7_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA8_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var HGT stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA9_HGT.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var HGT echo "Calculating Upper Air U-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA1_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var UGRD

291

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA3_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA5_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA6_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA7_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA8_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var UGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA9_UGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var UGRD echo "Calculating Upper Air V-Wind Component Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA1_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA3_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainRe

292

solution}_${variation}_aircar_allhrs_UA5_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA6_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA7_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA8_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var VGRD stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA9_VGRD.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var VGRD echo "Calculating Upper Air Wind Speed Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA1_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P225-100 -obtype AIRCAR -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA3_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P425-225 -obtype AIRCAR -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA5_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P625-425 -obtype AIRCAR -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA6_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P775-625 -obtype AIRCAR -fcst_var WIND

293

stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA7_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P875-775 -obtype AIRCAR -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA8_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P910-875 -obtype AIRCAR -fcst_var WIND stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA9_WIND.txt -v 3 -job aggregate_stat -line_type MPR -out_line_type CNT -obs_lev P1010-910 -obtype AIRCAR -fcst_var WIND echo "Calculating Upper Air Wind Direction Statistics" stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA1_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P225-100 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA3_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P425-225 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA5_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P625-425 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA6_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P775-625 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA7_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P875-775 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainResolution}_${variation}_aircar_allhrs_UA8_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P910-875 -obtype AIRCAR stat_analysis -lookin ../MET_PointStat/results_${domainResolution}${var}/ -out ./Summary_byHour/${domainResolution}_${variation}_aircar/allhrs/${domainRe

294

solution}_${variation}_aircar_allhrs_UA9_WDIR.txt -v 3 -job aggregate_stat -line_type VL1L2 -out_line_type WDIR -obs_lev P1010-910 -obtype AIRCAR

295

Appendix H. Embedded Scripts: Extract Stat-Analysis Data (Carson)

kate.g.smith

Typewritten Text


296

run_ExtractStatAnalysis #!/bin/bash # Script Purpose: Run java program that extracts data from Stat Analysis # files. Also makes directories for results to go. # Author: Yasmina R. Raby # Date: 01/11/2010 # Script Name: run_ExtractStatAnalysis # Script Location: $HOME/Scripts # Calls Java Programs: $HOME/Scripts/ExtractHourlySFCData.class, $HOME/Scripts/ExtractAllhoursSFCData.class, DailySFC.class, UAExtractor.class # NOTE: This script expects only that the Stat Analysis folders are in # $HOME/MET_StatAnalysis/Summary_byHour/domain_resolution_type/ # User's home directory is captured dynamically in this script and in the Java program echo "What kind of data would you like to extract?" echo "(1) surface hourly data" echo "(2) surface data over all days and hours?" echo "(3) daily surface data for a model and wrf variation?" echo "(4) upper air data for hour 00Z, hour 12Z, a user specified hour, or all hours, or daily?" read choice if [ "$choice" == "1" ]; then mkdir -p $HOME/results/hours/hourly java -classpath $HOME/Scripts ExtractHourlySFCData elif [ "$choice" == "2" ]; then mkdir -p $HOME/results/hours/allhrs java -classpath $HOME/Scripts ExtractAllhoursSFCData elif [ "$choice" == "3" ]; then mkdir -p $HOME/results/days/sfc java -classpath $HOME/Scripts DailySFC else mkdir -p $HOME/results/hours/ua/adpupa mkdir -p $HOME/results/days/ua/adpupa mkdir -p $HOME/results/hours/ua/aircraft mkdir -p $HOME/results/days/ua/aircraft mkdir -p $HOME/results/hours/ua/aircar mkdir -p $HOME/results/days/ua/aircar java -classpath $HOME/Scripts UAExtractor fi echo "run_ExtractStatAnalysis is done."

kate.g.smith

Typewritten Text


kate.g.smith

Typewritten Text

297

Appendix I. Checklist: Collect WRF Evaluation Data – Run WRF Model

kate.g.smith

Typewritten Text


298

The following is a checklist to summarize and track the steps required to produce and collect WRF evaluation data and perform MET evaluations. Note: If you are not going to run the WRF and want to work with Passner WRF runs do not use this checklist. Use instead, the checklist in

a. Day 1 - Run the Start Script (s), Task #1 on carson to process the WRF initialization

data. _________.

b. Day 1 – For kelvin, If a. is completed successfully, run the “s”, Task #3 on carson to

prepare for and run the WRF on mjm.__________. For carson, log onto mjm and

proceed with c. below_________.

c. Day 1 – On mjm, run the “s1”, Task #1 to start the WRF. Note the job number

_______.

d. Day 1 - Periodically check the status of the WRF run on mjm using “qsg” alias.____.

e. Day 1 – Run the “s”, Task #4 on carson to convert the PrepBUFR data._________.

f. Day 1 – Run the “s”, Task #5 or #6 on carson as needed for downloading MADIS

current or archived data._________.

g. Day 1 – Run the “s”, Task #7 to convert the MADIS ASCII data files to netcdf

format._______.

h. Day 2 – Check the status of the WRF run on mjm. If complete, check the presence of

the 2 WRF output files in WRF3011/run directory on mjm.________.

i. Day 2 – If the 2 output files are present on mjm, run the “s1”, Task #2 on mjm to post-

process the WRF output.________.

j. Day 2 – When the post-processing is complete, run the “s1”, Task #3 on mjm to

transfer the post-processed data to carson._________.

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

kate.g.smith

Typewritten Text

appendix J of the User's Guide.

kate.g.smith

Typewritten Text

299

k. Day 2 - When the transfer is complete, exit from mjm and run the “s”, Task #8 on

carson to run the Point-Stat application to produce evaluation statistics.______.

l. Day 2 – When Point-Stat is complete, QC the Point-Stat results._______.

m. Day 2 - Archive the Point-Stat result files on the “L” drive in the archive

folder._______.

n. Day 2 or beyond – Run Stat-Analysis as needed to produce aggregated results and

summaries of statistics for analysis.

Day 2 or beyond – Extract Stat-Analysis results to prepare files suitable for importing into MS Excel and to produce tables and graphs for analysis and publication.

300


301

Appendix J. Checklist: Collect WRF Evaluation Data – Process Passner WRF Runs

kate.g.smith

Typewritten Text


302

The following is a checklist to summarize and track the steps required to collect Passner WRF evaluation data.

a. Day 1 - Confirm that the PrepBUFR data and MADIS observational data have

been collected on carson for Passner’s case study dates and have been converted

to netcdf format ._________.

b. Day 1 – On mjm, copy Passner WRF output files (2) to your WRF3011/run

directory.________.

c. Day 1 – On mjm, run the “s1” script and select #2 to post-process Passner WRF

output. ________.

d. Day 1 – When the post-processing is complete, run the “s” script, task #2 on

carson to create the appropriate directories for the post-processed WRF output.

_______.

e. Day 1 – On mjm, run “s2” to transfer the 50 WRF output files to carson.______.

f. Day 1 - On mjm, delete the 50 WRF files from WRFOUT/named date

directory/postprd. _______.

g. Day 1 – Exit from mjm and run the “s”, Task #8 on carson to run the Point-Stat

application to produce evaluation statistics.______.

h. Day 1 – When Point-Stat is complete, QC the Point-Stat results._______.

i. Day 1 – Archive the Point-Stat result files on the “L” drive in the archive

folder._______.

j. Day 2 or beyond – Run Stat-Analysis as needed to produce aggregated results and

summaries of statistics for analysis.

303

Day 2 or beyond – Extract Stat-Analysis results to prepare files suitable for importing into MS Excel to produce tables and graphs for analysis and publication.

304


305

Appendix K. Checklist: StatAnalysisChecklist_single_day

kate.g.smith

Typewritten Text


306

Stat Analysis Single Day Checklist Analyzing Surface and Upper Air data for all hours over one day


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2

307


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2

308


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2

309


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2


m1o1 m1o2 m2o2

310


m1o1 m1o2 m2o2

311

Appendix L. Checklist: StatAnalysisAggregatedChecklist

kate.g.smith

Typewritten Text


312

Stat Analysis Aggregated Data Checklist Analyzing Surface and Upper Air Data for all days by each hour or for all hours/days

How to run: On carson, type: run_Stat_Analysis THEN ENTER 2 IN RESPONSE TO THE FIRST QUESTION Then enter the domain and then the WRF variation. Then enter option 1 for each hour over all days or option 2 for all hours over all days. Note: It might be best to reserve the more time-consuming m1o1 cases for doing overnight.

All hours, All days (option 2)


Each hour, All days (option 1)


313

Appendix M. Checklist: StatAnalysisSFCHourlyExtractionChecklist

kate.g.smith

Typewritten Text


314

Stat Analysis Surface Data Extraction Checklist

How to run: On carson, type: run_ExtractStatAnalysis Choose option 1 Enter a model Enter a WRF variation The results will be in /results/hours/hourly


Also performed option 2 for m1o1, m1o2, and m2o2

The results are in results/hours/allhrs

315

Appendix N. Checklist: StatAnalysisSingleDayADPUPAExtractionChecklist

kate.g.smith

Typewritten Text


316

Stat Analysis Extracting Single Day Checklist Extracting ADPUPA data for all hours over one day

Start_Date____________ Domain CO P2 P8 T3 L4 L8 B2

m1o1


m1o1


m1o1


m1o1


m1o1


m1o1


m1o1

317


m1o1


m1o1


m1o1


m1o1


m1o1


m1o1


m1o1

318


m1o1


m1o1


m1o1


m1o1


m1o1


m1o1

319

List of Symbols, Abbreviations, and Acronyms

ACARS Aircraft Communications Addressing and Reporting System

AIRCFT Aircraft report message type

AIRCAR ACARS message type

ADPSFC Surface weather report message type

ADPUPA Upper air observation message type

AFWA Air Force Weather Agency

ANYAIR Collective alias for AIRCFT and AIRCAR message types

ARL U.S. Army Research Laboratory

ASCII American Standard Code for Information Interchange

BCMSE Bias-corrected mean squared error

BCMSE_BCL Bootstrap lower confidence limit of BCMSE

BCMSE_BCU Bootstrap upper confidence limit of BCMSE

BED Battlefield Environment Division

B2 WRF parameter setting variation designation for the Mellor-Yamada-Janic

boundary layer parameterization scheme

CI Confidence interval

CISD Computational and Information Sciences Directorate

DAT Data file type

DPT Dew point temperature

DTC Developmental Testbed Center

DUG Dugway Proving Ground, UT

320

E10 10th percentile of the error

E10_BCL Bootstrap lower confidence limit of E10

E10_BCU Bootstrap upper confidence limit of E10













FBAR Forecast mean

FBAR_NCL Normal lower confidence limit of FBAR

FBAR_NCU Normal upper confidence limit of FBAR

FBAR_BCL Bootstrap lower confidence limit of FBAR

FBAR_BCU Bootstrap upper confidence limit of FBAR

FRANK_TIES Number of tied forecast ranks used in computing Kendall’s tau statistic

FSTDEV Standard deviation of the forecast

FSTDEV_NCL Normal lower confidence limit of FSTDEV

321

FSTDEV_NCU Normal upper confidence limit of FSTDEV

FSTDEV_BCL Bootstrap lower confidence limit of FSTDEV

FSTDEV_BCU Bootstrap upper confidence limit of FSTDEV

GRIB1 Gridded Binary Format

HGT Geopotential height

HPC High Performance Computer

KSC Kennedy Space Center, FL

KT_CORR Kendall’s tau statistic

L4 WRF parameter setting variation designation for the 40 vertical levels case

L8 WRF parameter setting variation designation for the 80 vertical levels case

MADIS Meteorological Assimilation Data Ingest System

MAE Mean Absolute Error

MAE_BCL Bootstrap lower confidence limit of MAE

MAE_BCU Bootstrap upper confidence limit of MAE

MBIAS Multiplicative bias

MBIAS_BCL Bootstrap lower confidence limit of MBIAS

MBIAS_BCU Bootstrap upper confidence limit of MBIAS

ME Mean Error

ME_NCL Normal lower confidence limit of ME

ME_NCU Normal upper confidence limit of ME

ME_BCL Bootstrap lower confidence limit of ME

ME_BCU Bootstrap upper confidence limit of ME

MET Model Evaluation Tools

322

METAR Surface aviation meteorological observation

Mesonet Network of automated weather stations for observing mesoscale

phenomena

MODE Method for Object-Based Diagnostic Evaluation

MS Microsoft

MYJ BL Mellor-Yamada-Janic boundary layer parameterization scheme

m1o1 Designates WRF model with horizontal resolution of 3-km (m1) run over

domain 1 (o1)


domain 2 (o2)


domain 2 (o2)

NAM North American Model

NCAR National Center for Atmospheric Research

NCEP National Centers for Environmental Prediction

NetCDF Network Common Data Form

NOAA National Oceanic and Atmospheric Administration

NWP Numerical Weather Prediction

OBAR Observation mean

OBAR_NCL Normal lower confidence limit of OBAR

OBAR_NCU Normal upper confidence limit of OBAR

OBAR_BCL Bootstrap lower confidence limit of OBAR

OBAR_BCU Bootstrap upper confidence limit of OBAR

ORANK_TIES Number of tied observation ranks used in computing Kendall’s tau statistic

323

OSTDEV Standard deviation of the observations

OSTDEV_NCL Normal lower confidence limit of OSTDEV

OSTDEV_NCU Normal upper confidence limit of OSTDEV

OSTDEV_BCL Bootstrap lower confidence limit of OSTDEV

OSTDEV_BCU Bootstrap upper confidence limit of OSTDEV

PrepBUFR Data in BUFR format prepared/disseminated by NCEP

PR_CORR Pearson correlation coefficient

PR_CORR_NCL Normal lower confidence limit of PR_CORR

PR_CORR_NCU Normal upper confidence limit of PR_CORR

PR_CORR_BCL Bootstrap lower confidence limit of PR_CORR

PR_CORR_BCU Bootstrap upper confidence limit of PR_CORR

PRMSL Mean sea level pressure

P2 WRF parameter setting variation designation for the Purdue microphysics

parameterization scheme case

P8 WRF parameter setting variation designation for the Thompson

microphysics parameterization scheme case

QC quality control

RANKS Number of ranks used in computing Kendall’s tau statistic

RAOB Rawinsonde upper air Observation

RH Relative humidity

RMSE Root Mean Squared Error

RMSE_BCL Bootstrap lower confidence limit of RMSE

RMSE_BCU Bootstrap upper confidence limit of RMSE

SATA Serially Advanced Technology Attachment

324

SP_CORR Spearman’s rank correlation coefficient

TMP Temperature

T3 WRF parameter setting variation designation for the 3 second time

advective step parameterization scheme case

TOTAL Total number of matched forecast-observation pairs

UGRD U-component of wind

VGRD V-component of wind

WIND Wind speed

WRF Weather Research and Forecasting model

325

No. of Copies Organization 1 PDF ADMNSTR DEFNS TECHL INFO CTR DTIC OCP 8725 JOHN J KINGMAN RD STE

0944 FT BELVOIR VA 22060-6218 3 HCs US ARMY RSRCH LAB ATTN RDRL CIM P TECHL PUB ATTN RDRL CIM L TECHL LIB ATTN IMNE ALC HRR MAIL & RECORDS MGMT 2800 POWDER MILL ROAD ADELPHI MD 20783-1197 15 CDs US ARMY RSRCH LAB 2 HCs ATTN RDRL CIE M J PASSNER B BROWN (3 CDs) Y RABY (3 CDs, 1 HC) J RABY (3 CDs, 1 HC) D KNAPP R FLANIGAN S KIRBY B DUMAIS T JAMESON WSMR NM 88002-5501 1 CD US ARMY RSRCH LAB ATTN RDRL CIE P CLARK APG MD 21005 1 CD R CRAIG DAF CIVILIAN HQ AFWA 2WXG 16WS/WXN 101 NELSON DR OFFUTT AFB NE 68113-1023 1 CD ARMY JOINT SUPPORT TEAM

SFAE IEW&S DCGS A ATTN G BARNES 238 HARSTON ST BLDG 90060

HURLBURT FIELD FL 32544

No. of Copies Organization 1 CD T FOWLER NCAR DEVELOPMENTAL TESTBED CENTER P O BOX 3000 BOULDER CO 80307-3000 1 CD J H GOTWAY NCAR DEVELOPMENTAL TESTBED CENTER P O BOX 3000 BOULDER CO 80307-3000 1 CD US ARMY RSRCH LAB ATTN RDRL CIE D

D HOOCK WSMR NM 88002-5501 1 CD DR J MCLAY NAVAL RSRCH LAB 7 GRACE HOPPER AVE STOP 2 MONTEREY CA 93943 Total: 28 (1 PDF, 22 CDs, 5 HCs)

326


Forecast Model and Product Assessment Project...

Documents

Transcript of Forecast Model and Product Assessment Project...